Instructions to use eliasedwin7/MalayalamBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eliasedwin7/MalayalamBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="eliasedwin7/MalayalamBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("eliasedwin7/MalayalamBERT") model = AutoModelForMaskedLM.from_pretrained("eliasedwin7/MalayalamBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from eliasedwin7/MalayalamBERT: direct link, hf CLI and curl.
- Browser
- Download file 1.02 kB
-
https://huggingface.co/eliasedwin7/MalayalamBERT/resolve/main/training_args.bin
- Command line
-
hf download hf://eliasedwin7/MalayalamBERT/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/eliasedwin7/MalayalamBERT/resolve/main/training_args.bin
1.02 kB
- Xet hash:
- 0c836c113098e071a374e1778bd1d84c5b9e1386a636c9a4cc4b5948c48f417f
- Size of remote file:
- 1.02 kB
- SHA256:
- a7a74d9bfa367a5b48efe559d11e48620da3b71033f3afaa321b00f28f8776e1
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