Instructions to use seogenis/my-first-test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seogenis/my-first-test-model with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="seogenis/my-first-test-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("seogenis/my-first-test-model") model = AutoModel.from_pretrained("seogenis/my-first-test-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from seogenis/my-first-test-model: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/seogenis/my-first-test-model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://seogenis/my-first-test-model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/seogenis/my-first-test-model/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 40d4dbe299a3a3bf3d2662b180839551e3020829d3754d4416934663110622d7
- Size of remote file:
- 438 MB
- SHA256:
- 8255451712744a08d6f1f4bfccb5f8ef5d8cd6f09dd8f186133571436372e910
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.