Instructions to use Rasooli/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rasooli/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Rasooli/results")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Rasooli/results") model = AutoModelForSequenceClassification.from_pretrained("Rasooli/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Rasooli/results: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/Rasooli/results/resolve/main/training_args.bin
- Command line
-
hf download hf://Rasooli/results/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Rasooli/results/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 76501fd1c321615280146b6a1e8c8e2fd4831f5d9c93082bd39217394e8309cb
- Size of remote file:
- 5.05 kB
- SHA256:
- 15310c3a71eadf47fe93530f75d0e24dcb277465bdc65793eafc50c0b2fb1a8b
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