Feature Extraction
Transformers
TensorBoard
Safetensors
llama
Generated from Trainer
text-embeddings-inference
8-bit precision
bitsandbytes
Instructions to use Aharneish/llama-2-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aharneish/llama-2-final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Aharneish/llama-2-final")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Aharneish/llama-2-final") model = AutoModel.from_pretrained("Aharneish/llama-2-final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Aharneish/llama-2-final: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/Aharneish/llama-2-final/resolve/main/training_args.bin
- Command line
-
hf download hf://Aharneish/llama-2-final/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Aharneish/llama-2-final/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 5d0b2d9fd83f8f5893af5b188270c3c8e669312111005903fe42ce33bd2ec2cd
- Size of remote file:
- 4.6 kB
- SHA256:
- d3a84d6a4d2004d06d9b6f3cccb0cb5568ada149df45c7b42fd5f917c244050d
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