Instructions to use exdysa/tiny-random-gpt2-bfloat16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use exdysa/tiny-random-gpt2-bfloat16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="exdysa/tiny-random-gpt2-bfloat16")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("exdysa/tiny-random-gpt2-bfloat16") model = AutoModel.from_pretrained("exdysa/tiny-random-gpt2-bfloat16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from exdysa/tiny-random-gpt2-bfloat16: direct link, hf CLI and curl.
- Browser
- Download file 92.9 kB
-
https://huggingface.co/exdysa/tiny-random-gpt2-bfloat16/resolve/main/model.safetensors
- Command line
-
hf download hf://exdysa/tiny-random-gpt2-bfloat16/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/exdysa/tiny-random-gpt2-bfloat16/resolve/main/model.safetensors
92.9 kB
- Xet hash:
- 8392addf456431c4d3658cf50744bd493c03e4dfb2795c46f157991c6a0738a7
- Size of remote file:
- 92.9 kB
- SHA256:
- 999ee573ad0e82519df4db3f291351db37ed38d41e91d4bba88657088bc90302
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