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 pytorch_model.bin from israel/testing_model: direct link, hf CLI and curl.
- Browser
- Download file 561 MB
-
https://huggingface.co/israel/testing_model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://israel/testing_model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/israel/testing_model/resolve/main/pytorch_model.bin
561 MB
- Xet hash:
- 4ecbc067bc362f8c81dc5d07952bdeb2aa2fadb6177eb83aa2a95f5ab40e87ca
- Size of remote file:
- 561 MB
- SHA256:
- 98799cdfed6d47c05f67b6613ad28fd7b6c148ba2f497978c4dddd3d5610f63a
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