Instructions to use cuadron11/documentClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cuadron11/documentClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cuadron11/documentClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cuadron11/documentClassification") model = AutoModelForSequenceClassification.from_pretrained("cuadron11/documentClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from cuadron11/documentClassification: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/cuadron11/documentClassification/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://cuadron11/documentClassification/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/cuadron11/documentClassification/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 7957c8c5f885d32f404fb672df143165b17e0c25316bc378542d22832c82cf53
- Size of remote file:
- 499 MB
- SHA256:
- f06c5c5b32f6f3a3008a62f4e224665bab38f648adaf4b61df803f5b3bd32f5c
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