Instructions to use dewifaj/text-classification-p1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dewifaj/text-classification-p1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dewifaj/text-classification-p1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dewifaj/text-classification-p1") model = AutoModelForSequenceClassification.from_pretrained("dewifaj/text-classification-p1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dewifaj/text-classification-p1: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/dewifaj/text-classification-p1/resolve/main/training_args.bin
- Command line
-
hf download hf://dewifaj/text-classification-p1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dewifaj/text-classification-p1/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 2fbeeb4814a8fe5c734f067f6e34bd99aa5761f93c29032fb9616b6a771dbe90
- Size of remote file:
- 5.11 kB
- SHA256:
- 378615656715d3f9c5b28ba785d2e403d725c3c6f33bc5a64444d75aa77fbfe0
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