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:
- 1ecccba5d70a22968174b01907d1cd3354d633fcb80e95b25ed7e919d3b42a23
- Size of remote file:
- 2.35 kB
- SHA256:
- 3f9573751a3e2b1e00be090074d5169b6b93f9e5a73fbde50f18c64af4f54d54
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