Instructions to use Taykhoom/structRFM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taykhoom/structRFM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Taykhoom/structRFM", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Taykhoom/structRFM", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 363 Bytes
933cd85 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"auto_map": {
"AutoTokenizer": [
"tokenization_structrfm.StructRFMTokenizer",
null
]
},
"tokenizer_class": "StructRFMTokenizer",
"model_max_length": 514,
"padding_side": "right",
"truncation_side": "right",
"cls_token": "[CLS]",
"sep_token": "[SEP]",
"pad_token": "[PAD]",
"mask_token": "[MASK]",
"unk_token": "[UNK]"
} |