Instructions to use EsferSami/banglat5-mental-health-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EsferSami/banglat5-mental-health-ft with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("EsferSami/banglat5-mental-health-ft") model = AutoModelForSeq2SeqLM.from_pretrained("EsferSami/banglat5-mental-health-ft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 285414837417356a66e8ccb18845f09bab6036a6c9399214f0bc3c944c533d8b
- Size of remote file:
- 1.11 MB
- SHA256:
- 7dcab96935a2a51b1461c84e44c952ea8a3640c8bc3e2c6ae7a21d855454ae27
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.