Instructions to use sajjad55/wsdbanglat5_2e4_MT0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sajjad55/wsdbanglat5_2e4_MT0 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sajjad55/wsdbanglat5_2e4_MT0") model = AutoModelForSeq2SeqLM.from_pretrained("sajjad55/wsdbanglat5_2e4_MT0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from sajjad55/wsdbanglat5_2e4_MT0: direct link, hf CLI and curl.
- Browser
- Download file 2.33 GB
-
https://huggingface.co/sajjad55/wsdbanglat5_2e4_MT0/resolve/main/model.safetensors
- Command line
-
hf download hf://sajjad55/wsdbanglat5_2e4_MT0/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/sajjad55/wsdbanglat5_2e4_MT0/resolve/main/model.safetensors
2.33 GB
- Xet hash:
- c9a8346e7c4ac80386fa807e7d8a4f9cf58400c6c975b6c9b4c2f0e2e4f787cd
- Size of remote file:
- 2.33 GB
- SHA256:
- c4f1b3bf90a31a6064ed36f4448fbadf68e0b55a845fd472fb16b6fbd0001e14
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