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
| { | |
| "ambiguous_token_ids": [ | |
| 1, | |
| 6, | |
| 7, | |
| 8, | |
| 9, | |
| 10, | |
| 11 | |
| ], | |
| "auto_map": { | |
| "AutoTokenizer": [ | |
| "tokenizer.ProteinTokenizer", | |
| null | |
| ] | |
| }, | |
| "backend": "tokenizers", | |
| "bos_token": "<bos>", | |
| "bos_token_id": 3, | |
| "eos_token": "<eos>", | |
| "eos_token_id": 4, | |
| "mask_token": "<mask>", | |
| "mask_token_id": 2, | |
| "max_length": 2048, | |
| "model_input_names": [ | |
| "input_ids", | |
| "attention_mask", | |
| "special_tokens_mask" | |
| ], | |
| "model_max_length": 2048, | |
| "pad_token": "<pad>", | |
| "pad_token_id": 0, | |
| "padding_side": "right", | |
| "tokenizer_class": "ProteinTokenizer", | |
| "truncation_side": "right", | |
| "unk_token": "<unk>", | |
| "unk_token_id": 1 | |
| } | |