Instructions to use UchihaMadara/model2-21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UchihaMadara/model2-21 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="UchihaMadara/model2-21")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("UchihaMadara/model2-21") model = AutoModelForSequenceClassification.from_pretrained("UchihaMadara/model2-21", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from UchihaMadara/model2-21: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/UchihaMadara/model2-21/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://UchihaMadara/model2-21/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/UchihaMadara/model2-21/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 811c35aa94120a73c2098f3e88f1df3e90a2452894468b9a8394fb1140120f21
- Size of remote file:
- 438 MB
- SHA256:
- 1f3e5fbbe698e4d92aad5f8d6ede5edc059cb9825ddb4c6961bd54766c0e4e7e
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