Instructions to use havinash-ai/53bef753-2dd3-49fb-8b70-bda6a0033e09 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use havinash-ai/53bef753-2dd3-49fb-8b70-bda6a0033e09 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b") model = PeftModel.from_pretrained(base_model, "havinash-ai/53bef753-2dd3-49fb-8b70-bda6a0033e09") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/scheduler.pt from havinash-ai/53bef753-2dd3-49fb-8b70-bda6a0033e09: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/havinash-ai/53bef753-2dd3-49fb-8b70-bda6a0033e09/resolve/06c39ebda2abbb3439cf2ca731c4fe1aeb886e64/last-checkpoint/scheduler.pt
- Command line
-
hf download hf://havinash-ai/53bef753-2dd3-49fb-8b70-bda6a0033e09@06c39ebda2abbb3439cf2ca731c4fe1aeb886e64/last-checkpoint/scheduler.pt
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curl -L -o scheduler.pt https://huggingface.co/havinash-ai/53bef753-2dd3-49fb-8b70-bda6a0033e09/resolve/06c39ebda2abbb3439cf2ca731c4fe1aeb886e64/last-checkpoint/scheduler.pt
1.06 kB
- Xet hash:
- 53c8817be17320c128a0d30544ee19722002cadce92acf0829b7e97b65ec30a1
- Size of remote file:
- 1.06 kB
- SHA256:
- 9c8e6b04902f17ae368c3e6cfd97a31ad4de2f025d673daea8c033ce0e260946
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