Instructions to use karthik19967829/XLM-R-af-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karthik19967829/XLM-R-af-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("karthik19967829/XLM-R-af-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from karthik19967829/XLM-R-af-model: direct link, hf CLI and curl.
- Browser
- Download file 9.08 MB
-
https://huggingface.co/karthik19967829/XLM-R-af-model/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://karthik19967829/XLM-R-af-model@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/karthik19967829/XLM-R-af-model/resolve/refs%2Fpr%2F1/tokenizer.json
9.08 MB
- Xet hash:
- 5029803d8d1a242b65c08d1f8ca4e73bfdec8fc79680343cd9999df859c15c49
- Size of remote file:
- 9.08 MB
- SHA256:
- f9f761e0e122116627dac81039f134bed26d85535a2903d7ff05a1f8f3926ad5
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