Instructions to use wukevin/tcr-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wukevin/tcr-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wukevin/tcr-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wukevin/tcr-bert") model = AutoModelForSequenceClassification.from_pretrained("wukevin/tcr-bert") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7e262463ad5ca364c4cc8008e22bd49171c80b95b6f306bcd4c70507a52a72a
- Size of remote file:
- 230 MB
- SHA256:
- eeaa2af01f05cada4ab2f1ce3c0062574768551a04d10e1cca14aab63c780d4d
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