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 training_args.bin from cuadron11/documentClassification: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/cuadron11/documentClassification/resolve/26f23e2e2ccc441d8439f4e661d90640e1009e8f/training_args.bin
- Command line
-
hf download hf://cuadron11/documentClassification@26f23e2e2ccc441d8439f4e661d90640e1009e8f/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/cuadron11/documentClassification/resolve/26f23e2e2ccc441d8439f4e661d90640e1009e8f/training_args.bin
3.58 kB
- Xet hash:
- cf1df122d3dbb862a4c9c977c5c170324a4fc93326ba415670dc6b18071116cc
- Size of remote file:
- 3.58 kB
- SHA256:
- c0b6cceba7c780e36cdf7b4bd70a13eb06f4c950a8d6d30f95d8a2b407a60cff
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