Instructions to use tannonk/bart_mini-MLM-s42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tannonk/bart_mini-MLM-s42 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tannonk/bart_mini-MLM-s42") model = AutoModelForSeq2SeqLM.from_pretrained("tannonk/bart_mini-MLM-s42", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from tannonk/bart_mini-MLM-s42: direct link, hf CLI and curl.
- Browser
- Download file 4.08 MB
-
https://huggingface.co/tannonk/bart_mini-MLM-s42/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://tannonk/bart_mini-MLM-s42@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/tannonk/bart_mini-MLM-s42/resolve/refs%2Fpr%2F1/pytorch_model.bin
4.08 MB
- Xet hash:
- 8669d5afcfbb083e712b4aec5928e6be15471afa423408eb4117b0479c7c59d8
- Size of remote file:
- 4.08 MB
- SHA256:
- 402a668b22c2850bec869475ded5d71fbab410a5dcd48d0d83ed9aeb5dc6eb6e
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