Instructions to use alphaedge-ai/mmBERT-base-msa-16384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alphaedge-ai/mmBERT-base-msa-16384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="alphaedge-ai/mmBERT-base-msa-16384")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("alphaedge-ai/mmBERT-base-msa-16384") model = AutoModel.from_pretrained("alphaedge-ai/mmBERT-base-msa-16384", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "backend": "tokenizers", | |
| "bos_token": "<bos>", | |
| "cls_token": "<bos>", | |
| "eos_token": "<eos>", | |
| "mask_token": "<mask>", | |
| "model_max_length": 8192, | |
| "pad_token": "<pad>", | |
| "padding_side": "right", | |
| "sep_token": "<eos>", | |
| "tokenizer_class": "TokenizersBackend", | |
| "unk_token": "<unk>", | |
| "model_input_names": [ | |
| "input_ids", | |
| "attention_mask" | |
| ] | |
| } |