Zero-Shot Classification
Transformers
PyTorch
TensorFlow
ONNX
Safetensors
French
camembert
text-classification
sentence-similarity
nli
Instructions to use cmarkea/distilcamembert-base-nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cmarkea/distilcamembert-base-nli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="cmarkea/distilcamembert-base-nli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cmarkea/distilcamembert-base-nli") model = AutoModelForSequenceClassification.from_pretrained("cmarkea/distilcamembert-base-nli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add onnx model
Browse files- model.onnx +3 -0
model.onnx
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oid sha256:d483927e1061897e2b04a70ebf0e64c4cef59c393915cc2f608ec18047cfc605
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size 272446348
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