Instructions to use InstaDeepAI/nucleotide-transformer-v2-50m-3mer-multi-species with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InstaDeepAI/nucleotide-transformer-v2-50m-3mer-multi-species with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="InstaDeepAI/nucleotide-transformer-v2-50m-3mer-multi-species", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("InstaDeepAI/nucleotide-transformer-v2-50m-3mer-multi-species", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("InstaDeepAI/nucleotide-transformer-v2-50m-3mer-multi-species", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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"AutoModelForMaskedLM": "modeling_esm.EsmForMaskedLM",
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"AutoModelForTokenClassification": "modeling_esm.EsmForTokenClassification",
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"AutoModelForSequenceClassification": "modeling_esm.EsmForSequenceClassification"
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}
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"attention_probs_dropout_prob": 0.0,
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"emb_layer_norm_before": false,
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"esmfold_config": null,
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"AutoModelForMaskedLM": "modeling_esm.EsmForMaskedLM",
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"AutoModelForTokenClassification": "modeling_esm.EsmForTokenClassification",
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"AutoModelForSequenceClassification": "modeling_esm.EsmForSequenceClassification"
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},
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"attention_probs_dropout_prob": 0.0,
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"emb_layer_norm_before": false,
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"esmfold_config": null,
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