Instructions to use buddhist-nlp/mitra-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use buddhist-nlp/mitra-1B with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("buddhist-nlp/mitra-1B") model = AutoModelForSeq2SeqLM.from_pretrained("buddhist-nlp/mitra-1B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0aaabf566527645e79707a895fd6b6634a8405f38e8f37b0acb05cf96676a0b4
- Size of remote file:
- 5.48 GB
- SHA256:
- 6ea816c1fadd0c27c883e1685d4b74dcfb303fbea1f8886cf9fd41b57e3f281e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.