Instructions to use SamuelAllen1234/testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SamuelAllen1234/testing with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" 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("summarization", model="SamuelAllen1234/testing")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SamuelAllen1234/testing") model = AutoModelForSeq2SeqLM.from_pretrained("SamuelAllen1234/testing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SamuelAllen1234/testing: direct link, hf CLI and curl.
- Browser
- Download file 4.36 GB
-
https://huggingface.co/SamuelAllen1234/testing/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://SamuelAllen1234/testing/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SamuelAllen1234/testing/resolve/main/pytorch_model.bin
4.36 GB
- Xet hash:
- f25e134f932bf667190e25a1104f2be9fc3f28ced9fea8d117cc76cb0ccff875
- Size of remote file:
- 4.36 GB
- SHA256:
- 21fe497c1267a670011d932fb7d3a945563fd7b4e0b400f85445f11a68942c40
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