Instructions to use Rocketknight1/temp_upload_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rocketknight1/temp_upload_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Rocketknight1/temp_upload_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Rocketknight1/temp_upload_test") model = AutoModelForSequenceClassification.from_pretrained("Rocketknight1/temp_upload_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from Rocketknight1/temp_upload_test: direct link, hf CLI and curl.
- Browser
- Download file 263 MB
-
https://huggingface.co/Rocketknight1/temp_upload_test/resolve/main/tf_model.h5
- Command line
-
hf download hf://Rocketknight1/temp_upload_test/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/Rocketknight1/temp_upload_test/resolve/main/tf_model.h5
263 MB
- Xet hash:
- b889b5e9f9509aeb8fa8410b346fe93980fbe9944d07781cd943dfd0c89aa1f2
- Size of remote file:
- 263 MB
- SHA256:
- 2d84cc7cd2fcae7358709cba3481a177d4953a8d82af382afd612c92117d2871
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