Instructions to use SangBinCho/long_context_16k_testing_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SangBinCho/long_context_16k_testing_2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/mnt/local_storage/.cache/huggingface/hub/models--meta-llama--Llama-2-13b-chat-hf/snapshots/ee41e514ee23be967cc6a698dba34c5fd08ab9b5") model = PeftModel.from_pretrained(base_model, "SangBinCho/long_context_16k_testing_2") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from SangBinCho/long_context_16k_testing_2: direct link, hf CLI and curl.
- Browser
- Download file 1.84 MB
-
https://huggingface.co/SangBinCho/long_context_16k_testing_2/resolve/main/tokenizer.json
- Command line
-
hf download hf://SangBinCho/long_context_16k_testing_2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/SangBinCho/long_context_16k_testing_2/resolve/main/tokenizer.json
1.84 MB
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