Instructions to use BigSalmon/BertaMyWorda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BigSalmon/BertaMyWorda with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BigSalmon/BertaMyWorda")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BigSalmon/BertaMyWorda") model = AutoModelForMaskedLM.from_pretrained("BigSalmon/BertaMyWorda", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from BigSalmon/BertaMyWorda: direct link, hf CLI and curl.
- Browser
- Download file 2.86 kB
-
https://huggingface.co/BigSalmon/BertaMyWorda/resolve/a552e1614de8206adec824eb180dd1252b50fac2/training_args.bin
- Command line
-
hf download hf://BigSalmon/BertaMyWorda@a552e1614de8206adec824eb180dd1252b50fac2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BigSalmon/BertaMyWorda/resolve/a552e1614de8206adec824eb180dd1252b50fac2/training_args.bin
2.86 kB
- Xet hash:
- 22eb1793823b1c1c14ec305c5db8bb83303bd4b0ba2ff74a348ae94ede486361
- Size of remote file:
- 2.86 kB
- SHA256:
- 5630f14728f108997766e3e8dd33d6252b56ee50d481f0375b233f6c7de32488
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