Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use ernlavr/destilbert_fever_nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ernlavr/destilbert_fever_nli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ernlavr/destilbert_fever_nli")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ernlavr/destilbert_fever_nli") model = AutoModelForSequenceClassification.from_pretrained("ernlavr/destilbert_fever_nli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ernlavr/destilbert_fever_nli: direct link, hf CLI and curl.
- Browser
- Download file 263 MB
-
https://huggingface.co/ernlavr/destilbert_fever_nli/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ernlavr/destilbert_fever_nli/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ernlavr/destilbert_fever_nli/resolve/main/pytorch_model.bin
263 MB
- Xet hash:
- 76304591cac139fde2a39d728ece6a0e2e719ee92a77c81f27c3fc6dbdeb05dd
- Size of remote file:
- 263 MB
- SHA256:
- 7dfc8820f971763bb5abbbf007fcd3863db4737b947227ad5f01280e217f9311
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