Text Classification
Transformers
PyTorch
English
distilbert
customer-service-tickets
github-issues
bart-large-mnli
zero-shot-classification
NLP
text-embeddings-inference
Instructions to use AntoineMC/distilbart-mnli-github-issues with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AntoineMC/distilbart-mnli-github-issues with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AntoineMC/distilbart-mnli-github-issues")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AntoineMC/distilbart-mnli-github-issues") model = AutoModelForSequenceClassification.from_pretrained("AntoineMC/distilbart-mnli-github-issues") - Notebooks
- Google Colab
- Kaggle
Commit ·
d4fd6e5
1
Parent(s): e03f5ac
Adding `safetensors` variant of this model
Browse files- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:078c9a6c8ff64c8a5a12f593a334a8285ad123b8286e4ee2a6a7809c86baca56
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size 267835640
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