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 predict_results.json from israel/testing_model: direct link, hf CLI and curl.
- Browser
- Download file 145 Bytes
-
https://huggingface.co/israel/testing_model/resolve/main/predict_results.json
- Command line
-
hf download hf://israel/testing_model/predict_results.json
-
curl -L -o predict_results.json https://huggingface.co/israel/testing_model/resolve/main/predict_results.json
145 Bytes
| { | |
| "predict_runtime": 3.2345, | |
| "predict_samples": 1497, | |
| "predict_samples_per_second": 462.819, | |
| "predict_steps_per_second": 58.123 | |
| } |