Instructions to use israel/testing_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use israel/testing_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="israel/testing_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("israel/testing_model") model = AutoModelForSequenceClassification.from_pretrained("israel/testing_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from israel/testing_model: direct link, hf CLI and curl.
- Browser
- Download file 3.39 kB
-
https://huggingface.co/israel/testing_model/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://israel/testing_model@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/israel/testing_model/resolve/refs%2Fpr%2F1/training_args.bin
3.39 kB
- Xet hash:
- d7feedcdfdc64acd660c73cafd31f9952da8786a0df355bc31b11694f2c2c816
- Size of remote file:
- 3.39 kB
- SHA256:
- 1062f7202bd94330ea426b8e64d8d93e8207cc6d762fda087aceec7b23b26860
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