Instructions to use AliAvd/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AliAvd/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AliAvd/results")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AliAvd/results") model = AutoModelForSequenceClassification.from_pretrained("AliAvd/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AliAvd/results: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/AliAvd/results/resolve/main/training_args.bin
- Command line
-
hf download hf://AliAvd/results/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AliAvd/results/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 36fe9c2cea13c1da25095d87befebfa93bc054f2b8aaa7572c090c0365ebd4c4
- Size of remote file:
- 5.05 kB
- SHA256:
- ed665598fa5721046a6bb79639a147280e35976399dbeddbf721937815497aed
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