Instructions to use baartmar/DeepNSM-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baartmar/DeepNSM-8B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "baartmar/DeepNSM-8B") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from baartmar/DeepNSM-8B: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/baartmar/DeepNSM-8B/resolve/main/tokenizer.json
- Command line
-
hf download hf://baartmar/DeepNSM-8B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/baartmar/DeepNSM-8B/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- b8595479aa16f284fff7d35a2cce6471c883ae6e40bf6d447e707cb3e9e2280a
- Size of remote file:
- 17.2 MB
- SHA256:
- e8485b8900f2ef3a891091dbe5ef0edc56f6922c0a23c7dfbb4baf64854f7de4
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