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)# 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) - Notebooks
- Google Colab
- Kaggle
Commit ·
1628562
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Parent(s): 6163030
Update README.md
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README.md
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@@ -103,7 +103,7 @@ The following `bitsandbytes` quantization config was used during training:
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```
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@misc{phi-math,
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title={phi-
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author={Matthew Kenney},
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year={2023}
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}
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```
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@misc{phi-math,
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title={phi-physics},
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author={Matthew Kenney},
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year={2023}
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}
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