Transformers
TensorBoard
Safetensors
bart
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use Mwnthai/bart-base-bodo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mwnthai/bart-base-bodo with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Mwnthai/bart-base-bodo") model = AutoModelForSeq2SeqLM.from_pretrained("Mwnthai/bart-base-bodo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Mwnthai/bart-base-bodo: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/Mwnthai/bart-base-bodo/resolve/main/training_args.bin
- Command line
-
hf download hf://Mwnthai/bart-base-bodo/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Mwnthai/bart-base-bodo/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- cc08a0e8abdcf2f2ba023f2c73d7370e313908eb9dc36de25c17b2ae9d6115ac
- Size of remote file:
- 4.86 kB
- SHA256:
- c1a8e7a5296b9e3488c7975921f25a38914ea0cc7cf3cca367a6422a30229286
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