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README.md
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<img src="https://miro.medium.com/v2/resize:fit:4800/format:webp/1*ZP2RVejCZovF3FDCg-Bx3A.png" width="780px">
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## Trouble Shooting
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**Loading of Model Code failed**
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If you forgot to pass the `trust_remote_code=True` flag when calling `AutoModel.from_pretrained` or initializing the model via the `SentenceTransformer` class, you will receive an error that the model weights could not be initialized.
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This is caused by tranformers falling back to creating a default BERT model, instead of a jina-embedding model:
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```bash
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Some weights of the model checkpoint at jinaai/jina-embeddings-v2-base-en were not used when initializing BertModel: ['encoder.layer.2.mlp.layernorm.weight', 'encoder.layer.3.mlp.layernorm.weight', 'encoder.layer.10.mlp.wo.bias', 'encoder.layer.5.mlp.wo.bias', 'encoder.layer.2.mlp.layernorm.bias', 'encoder.layer.1.mlp.gated_layers.weight', 'encoder.layer.5.mlp.gated_layers.weight', 'encoder.layer.8.mlp.layernorm.bias', ...
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```
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**User is not logged into Huggingface**
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The model is only availabe under [gated access](https://huggingface.co/docs/hub/models-gated).
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This means you need to be logged into huggingface load load it.
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If you receive the following error, you need to provide an access token, either by using the huggingface-cli or providing the token via an environment variable as described above:
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```bash
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OSError: jinaai/jina-embeddings-v2-base-en is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models'
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If this is a private repository, make sure to pass a token having permission to this repo with `use_auth_token` or log in with `huggingface-cli login` and pass `use_auth_token=True`.
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```
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## Contact
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Join our [Discord community](https://discord.jina.ai) and chat with other community members about ideas.
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<img src="https://miro.medium.com/v2/resize:fit:4800/format:webp/1*ZP2RVejCZovF3FDCg-Bx3A.png" width="780px">
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## Contact
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Join our [Discord community](https://discord.jina.ai) and chat with other community members about ideas.
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