Instructions to use ajithnarayanan/lora-flan-t5-large-chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ajithnarayanan/lora-flan-t5-large-chat with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ajithnarayanan/lora-flan-t5-large-chat") model = AutoModelForSeq2SeqLM.from_pretrained("ajithnarayanan/lora-flan-t5-large-chat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ajithnarayanan/lora-flan-t5-large-chat: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/ajithnarayanan/lora-flan-t5-large-chat/resolve/main/training_args.bin
- Command line
-
hf download hf://ajithnarayanan/lora-flan-t5-large-chat/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ajithnarayanan/lora-flan-t5-large-chat/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- f869447b3690f91bf87f8651e9ffe4c917ff88b1078db67fecb64e24e35a63d0
- Size of remote file:
- 5.3 kB
- SHA256:
- afbf08ae31052b959e29fbad2456b22ae3f3ffc3bea1d277880bbfbb54591781
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