Instructions to use cvoffer/ca49da4b-0b0c-4714-9568-1ff2eaac2b6c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cvoffer/ca49da4b-0b0c-4714-9568-1ff2eaac2b6c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("samoline/4f3782a6-7b9f-4ebe-b488-6b278dfed6e4") model = PeftModel.from_pretrained(base_model, "cvoffer/ca49da4b-0b0c-4714-9568-1ff2eaac2b6c") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from cvoffer/ca49da4b-0b0c-4714-9568-1ff2eaac2b6c: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/cvoffer/ca49da4b-0b0c-4714-9568-1ff2eaac2b6c/resolve/d7a1503d5c7d7d7535c1efec8878fda8e5e307c4/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://cvoffer/ca49da4b-0b0c-4714-9568-1ff2eaac2b6c@d7a1503d5c7d7d7535c1efec8878fda8e5e307c4/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/cvoffer/ca49da4b-0b0c-4714-9568-1ff2eaac2b6c/resolve/d7a1503d5c7d7d7535c1efec8878fda8e5e307c4/last-checkpoint/optimizer.pt
336 MB
- Xet hash:
- 8538c8dccf4d9717a832bcd96e9ee1b1b4c1c22e3464c35f5db67047c8966ce6
- Size of remote file:
- 336 MB
- SHA256:
- 9b222c29a53e079ed88ec411da50382d90227f6ca86af2adbfe949f572c044a6
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