Instructions to use InstaDeepAI/segment_nt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InstaDeepAI/segment_nt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="InstaDeepAI/segment_nt", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("InstaDeepAI/segment_nt", trust_remote_code=True) model = AutoModel.from_pretrained("InstaDeepAI/segment_nt", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- tokenizer_config.json +1 -1
tokenizer_config.json
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{
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"clean_up_tokenization_spaces": true,
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"eos_token": null,
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"model_max_length":
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"tokenizer_class": "EsmTokenizer"
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}
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{
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"clean_up_tokenization_spaces": true,
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"eos_token": null,
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"model_max_length": 2048,
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"tokenizer_class": "EsmTokenizer"
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}
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