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:
- c6ff410eca24ec53631c576a437ff1a98daac80602624b36b5841e0a900a0684
- Size of remote file:
- 268 MB
- SHA256:
- fa1bfb63a352a57cca3508c59d7719bd11e31a3a6668aaa3fbc8523a17594544
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