Instructions to use mossaic-candle/adaptive-lm-molecules with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mossaic-candle/adaptive-lm-molecules with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mossaic-candle/adaptive-lm-molecules")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mossaic-candle/adaptive-lm-molecules") model = AutoModelForMaskedLM.from_pretrained("mossaic-candle/adaptive-lm-molecules") - Notebooks
- Google Colab
- Kaggle
| {"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": true, "model_max_length": 512, "name_or_path": "bert-smiles", "model_type":"bert"} | |