Push model using huggingface_hub.
Browse files- README.md +42 -0
- adapter_config.json +17 -0
- adapter_model.bin +3 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +6 -0
- tokenizer.model +3 -0
- tokenizer_config.json +33 -0
README.md
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---
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license: apache-2.0
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tags:
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- trl
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- transformers
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- reinforcement-learning
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---
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# TRL Model
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This is a [TRL language model](https://github.com/lvwerra/trl) that has been fine-tuned with reinforcement learning to
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guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
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## Usage
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To use this model for inference, first install the TRL library:
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```bash
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python -m pip install trl
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```
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You can then generate text as follows:
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```python
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from transformers import pipeline
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generator = pipeline("text-generation", model="wengnews//tmp/tmpf8s2lv31/wengnews/tuning_llama_rl_checkpointsstep_9")
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outputs = generator("Hello, my llama is cute")
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```
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If you want to use the model for training or to obtain the outputs from the value head, load the model as follows:
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```python
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from transformers import AutoTokenizer
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from trl import AutoModelForCausalLMWithValueHead
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tokenizer = AutoTokenizer.from_pretrained("wengnews//tmp/tmpf8s2lv31/wengnews/tuning_llama_rl_checkpointsstep_9")
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model = AutoModelForCausalLMWithValueHead.from_pretrained("wengnews//tmp/tmpf8s2lv31/wengnews/tuning_llama_rl_checkpointsstep_9")
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inputs = tokenizer("Hello, my llama is cute", return_tensors="pt")
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outputs = model(**inputs, labels=inputs["input_ids"])
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```
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adapter_config.json
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{
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"base_model_name_or_path": "/root/autodl-fs/qufen",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"lora_alpha": 16,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7914db533964fc24d93845e1ee55572cd87fd290aeb7b64c982f15a072cca165
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size 16822989
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:2c6f281f9fc2ee7221c349d25e3df845160cba8bbe38bb2c2e1c9122674b08b0
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size 17471
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special_tokens_map.json
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{
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"bos_token": "</s>",
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"eos_token": "</s>",
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"pad_token": "[PAD]",
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"unk_token": "</s>"
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}
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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size 499723
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"bos_token": {
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"__type": "AddedToken",
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"clean_up_tokenization_spaces": false,
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"eos_token": {
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"__type": "AddedToken",
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": null,
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"sp_model_kwargs": {},
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": {
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"__type": "AddedToken",
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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