Instructions to use cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-llama-fast-tokenizer") model = PeftModel.from_pretrained(base_model, "cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6: direct link, hf CLI and curl.
- Browser
- Download file 253 kB
-
https://huggingface.co/cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6/resolve/eeb85ae81a7e7c01a8b9556cd5bd6fc71e5f2d80/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6@eeb85ae81a7e7c01a8b9556cd5bd6fc71e5f2d80/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6/resolve/eeb85ae81a7e7c01a8b9556cd5bd6fc71e5f2d80/last-checkpoint/optimizer.pt
253 kB
- Xet hash:
- 7510a501f8b2dcc7ec842b2f869846fbe2999fa378490dd9ec7b995c2e0649ad
- Size of remote file:
- 253 kB
- SHA256:
- 8e447f869a425ab946a28dcfaf6e17bf06681a0f6f6cae769a1de963446432ad
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