Instructions to use BashirRP/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BashirRP/output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BashirRP/output")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BashirRP/output") model = AutoModelForSequenceClassification.from_pretrained("BashirRP/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from BashirRP/output: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/BashirRP/output/resolve/main/training_args.bin
- Command line
-
hf download hf://BashirRP/output/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BashirRP/output/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- 07a0a5c2e250e16b255f3bf35d93bb3fb1500f079776827ad87aa01c318f36ac
- Size of remote file:
- 4.54 kB
- SHA256:
- c70fe21bac7d0bc73dbb0e136fe1d8350ca9a685cebb6c677e522b8e8d29fc90
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