Question Answering
Transformers
PyTorch
Safetensors
English
llama
text-generation
text-generation-inference
Instructions to use Andron00e/YetAnother_Open-Llama-3B-LoRA-OpenOrca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Andron00e/YetAnother_Open-Llama-3B-LoRA-OpenOrca with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="Andron00e/YetAnother_Open-Llama-3B-LoRA-OpenOrca")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Andron00e/YetAnother_Open-Llama-3B-LoRA-OpenOrca") model = AutoModelForCausalLM.from_pretrained("Andron00e/YetAnother_Open-Llama-3B-LoRA-OpenOrca", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Andron00e/YetAnother_Open-Llama-3B-LoRA-OpenOrca: direct link, hf CLI and curl.
- Browser
- Download file 6.85 GB
-
https://huggingface.co/Andron00e/YetAnother_Open-Llama-3B-LoRA-OpenOrca/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Andron00e/YetAnother_Open-Llama-3B-LoRA-OpenOrca/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Andron00e/YetAnother_Open-Llama-3B-LoRA-OpenOrca/resolve/main/pytorch_model.bin
6.85 GB
- Xet hash:
- bde95c69e91f4354bf6a4373876959bc393417c175c086edf821f2f1691e1d99
- Size of remote file:
- 6.85 GB
- SHA256:
- b375636c62f19b6ee475ced31a596583514c6c9d6bc59d21f95f5796586ebd02
路
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