Instructions to use bharadwajkg/all_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bharadwajkg/all_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bharadwajkg/all_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bharadwajkg/all_classification") model = AutoModelForSequenceClassification.from_pretrained("bharadwajkg/all_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from bharadwajkg/all_classification: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/bharadwajkg/all_classification/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://bharadwajkg/all_classification/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/bharadwajkg/all_classification/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 5c3a2ca10b0881991afcc9b32b92ce93f278b94d31cb33ff8c65fa2ee74f8014
- Size of remote file:
- 438 MB
- SHA256:
- 42801fa22106d74fc239fde33b3fa0f90c0cad019731094bed24e1703e9c88bf
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