Instructions to use ydshieh/tiny-random-DebertaModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ydshieh/tiny-random-DebertaModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ydshieh/tiny-random-DebertaModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ydshieh/tiny-random-DebertaModel") model = AutoModel.from_pretrained("ydshieh/tiny-random-DebertaModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from ydshieh/tiny-random-DebertaModel: direct link, hf CLI and curl.
- Browser
- Download file 438 kB
-
https://huggingface.co/ydshieh/tiny-random-DebertaModel/resolve/main/tf_model.h5
- Command line
-
hf download hf://ydshieh/tiny-random-DebertaModel/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/ydshieh/tiny-random-DebertaModel/resolve/main/tf_model.h5
438 kB
- Xet hash:
- 39e532ed209249de0249d174a61df373f8f364bdc10d3f7358bea4aa54a77b67
- Size of remote file:
- 438 kB
- SHA256:
- 306f8cdb86bd8cf7db282ddf8dc81590ab868b97fd17e68aa5e22b1e48a85914
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