Instructions to use SetFit/distilbert-base-uncased__TREC-QC__all-train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SetFit/distilbert-base-uncased__TREC-QC__all-train with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SetFit/distilbert-base-uncased__TREC-QC__all-train")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SetFit/distilbert-base-uncased__TREC-QC__all-train") model = AutoModelForSequenceClassification.from_pretrained("SetFit/distilbert-base-uncased__TREC-QC__all-train", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8587a91b564b382e73cc704da68e8da27a8b2494d5baa6d0addb54ae618a24c
- Size of remote file:
- 3.06 kB
- SHA256:
- 00702cba283158518eafdbcfd5909bee8d35fd39b73dd788c0fa25751f0383f8
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