Instructions to use flair-bio/amplify-c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flair-bio/amplify-c with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="flair-bio/amplify-c", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("flair-bio/amplify-c", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 680 Bytes
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"auto_map": {
"AutoTokenizer": [
"tokenizer.ProteinTokenizer",
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]
},
"backend": "tokenizers",
"bos_token": "<bos>",
"bos_token_id": 3,
"eos_token": "<eos>",
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"model_input_names": [
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"padding_side": "right",
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