Instructions to use panagoa/xlm-roberta-base-kbd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use panagoa/xlm-roberta-base-kbd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="panagoa/xlm-roberta-base-kbd")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("panagoa/xlm-roberta-base-kbd") model = AutoModelForMaskedLM.from_pretrained("panagoa/xlm-roberta-base-kbd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from panagoa/xlm-roberta-base-kbd: direct link, hf CLI and curl.
- Browser
- Download file 19.8 MB
-
https://huggingface.co/panagoa/xlm-roberta-base-kbd/resolve/main/tokenizer.json
- Command line
-
hf download hf://panagoa/xlm-roberta-base-kbd/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/panagoa/xlm-roberta-base-kbd/resolve/main/tokenizer.json
19.8 MB
- Xet hash:
- 505a938262df4933b97c6bb16f402954489864fa319fac224cc6e0956b0df4a5
- Size of remote file:
- 19.8 MB
- SHA256:
- bd9a8d931db05b60a623a690ed44c0b47380bb4e8e0ea2d0052e7bbed7967aab
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