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:
- c6e97e2ad919473812fc1e287cdb88f06a70ae790b779b7fbaa22a3448259f35
- Size of remote file:
- 268 MB
- SHA256:
- b357ae8cb3a727cd1a8fe9aa8c5fba2ecf87a101f786a7ac01170e409076f178
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