Instructions to use Taykhoom/RNAErnie2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taykhoom/RNAErnie2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Taykhoom/RNAErnie2", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Taykhoom/RNAErnie2", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 359 Bytes
9e231ea | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"auto_map": {
"AutoTokenizer": [
"tokenization_rnaernie2.RNAErnie2Tokenizer",
null
]
},
"tokenizer_class": "RNAErnie2Tokenizer",
"model_max_length": 2048,
"pad_token": "[PAD]",
"unk_token": "[UNK]",
"cls_token": "[CLS]",
"eos_token": "[EOS]",
"sep_token": "[SEP]",
"mask_token": "[MASK]",
"padding_side": "right"
}
|