Instructions to use BigSalmon/Robertsy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BigSalmon/Robertsy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BigSalmon/Robertsy")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BigSalmon/Robertsy") model = AutoModelForMaskedLM.from_pretrained("BigSalmon/Robertsy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from BigSalmon/Robertsy: direct link, hf CLI and curl.
- Browser
- Download file 329 MB
-
https://huggingface.co/BigSalmon/Robertsy/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://BigSalmon/Robertsy/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/BigSalmon/Robertsy/resolve/main/pytorch_model.bin
329 MB
- Xet hash:
- 5f7f7322f8b0c0b07ce7a7cdde2fbbb0665960c0a53c0042d6fd321ce553aa24
- Size of remote file:
- 329 MB
- SHA256:
- 1f544e242ff4d36205e202e83f9fbc75a1bd54a28d21add68a511f8105018246
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