Instructions to use Taykhoom/UTRBERT-3mer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taykhoom/UTRBERT-3mer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Taykhoom/UTRBERT-3mer", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Taykhoom/UTRBERT-3mer", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 300 Bytes
7b3d140 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"auto_map": {
"AutoTokenizer": [
"tokenization_utrbert.UTRBertTokenizer",
null
]
},
"model_max_length": 512,
"tokenizer_class": "UTRBertTokenizer",
"unk_token": "[UNK]",
"sep_token": "[SEP]",
"pad_token": "[PAD]",
"cls_token": "[CLS]",
"mask_token": "[MASK]"
} |