Instructions to use stuartmesham/deberta-large_spell_10k_2_p3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stuartmesham/deberta-large_spell_10k_2_p3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="stuartmesham/deberta-large_spell_10k_2_p3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("stuartmesham/deberta-large_spell_10k_2_p3") model = AutoModelForTokenClassification.from_pretrained("stuartmesham/deberta-large_spell_10k_2_p3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from stuartmesham/deberta-large_spell_10k_2_p3: direct link, hf CLI and curl.
- Browser
- Download file 1.66 GB
-
https://huggingface.co/stuartmesham/deberta-large_spell_10k_2_p3/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://stuartmesham/deberta-large_spell_10k_2_p3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/stuartmesham/deberta-large_spell_10k_2_p3/resolve/main/pytorch_model.bin
1.66 GB
- Xet hash:
- a2127a1efc429e06ffab1b8ee514b44a7a4a9ea5494dbdf448ab35338d78556b
- Size of remote file:
- 1.66 GB
- SHA256:
- 7860faccb17c0316ac51c2e058501620b8a3f379e2c246e6b66a944295b2dd4f
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