Instructions to use Everlyn/transformer_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Everlyn/transformer_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Everlyn/transformer_base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Everlyn/transformer_base") model = AutoModel.from_pretrained("Everlyn/transformer_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Everlyn/transformer_base: direct link, hf CLI and curl.
- Browser
- Download file 282 MB
-
https://huggingface.co/Everlyn/transformer_base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Everlyn/transformer_base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Everlyn/transformer_base/resolve/main/pytorch_model.bin
282 MB
- Xet hash:
- 2930077a55e5c415606ac72256989a1322881dc828e7790aef4ac96c692a8cba
- Size of remote file:
- 282 MB
- SHA256:
- 5a6147089706b5ad425649282c730da8ee8c09f673ab2928a16e2b3ce917ef5b
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