Transformers
PyTorch
TensorFlow
Safetensors
Divehi
t5
text2text-generation
text-generation-inference
Instructions to use monsoon-nlp/byt5-base-dv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use monsoon-nlp/byt5-base-dv with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("monsoon-nlp/byt5-base-dv") model = AutoModelForSeq2SeqLM.from_pretrained("monsoon-nlp/byt5-base-dv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from monsoon-nlp/byt5-base-dv: direct link, hf CLI and curl.
- Browser
- Download file 2.72 GB
-
https://huggingface.co/monsoon-nlp/byt5-base-dv/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://monsoon-nlp/byt5-base-dv/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/monsoon-nlp/byt5-base-dv/resolve/main/pytorch_model.bin
2.72 GB
- Xet hash:
- e9e4d5a24e78125a9bfeec4aa555f0dcf6fa9b624740ae7906a208942020ef91
- Size of remote file:
- 2.72 GB
- SHA256:
- 2e988e280793301123fa0554fced244ae93dfebb64e2c692e8d67e24d5ec150f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.