Instructions to use zayn1111/deberta-v3-dnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zayn1111/deberta-v3-dnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zayn1111/deberta-v3-dnli")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zayn1111/deberta-v3-dnli") model = AutoModelForSequenceClassification.from_pretrained("zayn1111/deberta-v3-dnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download trainer_state.json from zayn1111/deberta-v3-dnli: direct link, hf CLI and curl.
- Browser
- Download file 13.1 kB
-
https://huggingface.co/zayn1111/deberta-v3-dnli/resolve/main/trainer_state.json
- Command line
-
hf download hf://zayn1111/deberta-v3-dnli/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/zayn1111/deberta-v3-dnli/resolve/main/trainer_state.json
13.1 kB
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