Summarization
Transformers
Safetensors
English
phi
text-generation
arxiv
custom_code
text-generation-inference
Instructions to use AlgorithmicResearchGroup/phi-physics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlgorithmicResearchGroup/phi-physics with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" 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("summarization", model="AlgorithmicResearchGroup/phi-physics", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("AlgorithmicResearchGroup/phi-physics", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("AlgorithmicResearchGroup/phi-physics", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from AlgorithmicResearchGroup/phi-physics: direct link, hf CLI and curl.
- Browser
- Download file 50.4 MB
-
https://huggingface.co/AlgorithmicResearchGroup/phi-physics/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://AlgorithmicResearchGroup/phi-physics/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/AlgorithmicResearchGroup/phi-physics/resolve/main/adapter_model.safetensors
50.4 MB
- Xet hash:
- b013606b16064537f1bd5360507109fc79d1776ee6bf0bcaf44928af45c46e52
- Size of remote file:
- 50.4 MB
- SHA256:
- 2da20ac9e054a52b5963e3bde197f0868315c84065a04a82942533d2aad77053
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