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 requirements.txt from AlgorithmicResearchGroup/phi-physics: direct link, hf CLI and curl.
- Browser
- Download file 19 Bytes
-
https://huggingface.co/AlgorithmicResearchGroup/phi-physics/resolve/main/requirements.txt
- Command line
-
hf download hf://AlgorithmicResearchGroup/phi-physics/requirements.txt
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curl -L -o requirements.txt https://huggingface.co/AlgorithmicResearchGroup/phi-physics/resolve/main/requirements.txt
19 Bytes
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