Instructions to use kowsiknd/checkpoint-19000-finetuned2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kowsiknd/checkpoint-19000-finetuned2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kowsiknd/checkpoint-19000-finetuned2") model = AutoModelForSeq2SeqLM.from_pretrained("kowsiknd/checkpoint-19000-finetuned2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31b1e7cacb58b4097f7daf6ed0daf0fb55f1a36bf3f9a138122370e3fde21e3e
- Size of remote file:
- 2.95 GB
- SHA256:
- aa558cfba90e54cf9b50d621078429a16800ddf836f7a4117f39e47024b2efbf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.