Instructions to use TJMUCH/transcriptome-iseeek with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TJMUCH/transcriptome-iseeek with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="TJMUCH/transcriptome-iseeek")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("TJMUCH/transcriptome-iseeek") model = AutoModelForMaskedLM.from_pretrained("TJMUCH/transcriptome-iseeek", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 158 Bytes
cc5b5fa | 1 | {"mask_token": "[MASK]", "cls_token": "[CLS]", "sep_token": "[SEP]", "pad_token": "[PAD]", "unk_token": "[UNK]", "tokenizer_class": "PreTrainedTokenizerFast"} |