Instructions to use AyoubChLin/DistilBERT_ZeroShot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AyoubChLin/DistilBERT_ZeroShot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="AyoubChLin/DistilBERT_ZeroShot")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AyoubChLin/DistilBERT_ZeroShot") model = AutoModelForSequenceClassification.from_pretrained("AyoubChLin/DistilBERT_ZeroShot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 376e7cf3a0b5e7d986b7a96d9bca1b3845aac8b89fa4718eebbabe3387e76f96
- Size of remote file:
- 268 MB
- SHA256:
- a381a8c2722c1224eb1bffc76629c13fd19a80dca5df4d1762e9b1cb632d2dd1
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