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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from AlgorithmicResearchGroup/phi-physics: direct link, hf CLI and curl.
- Browser
- Download file 798 kB
-
https://huggingface.co/AlgorithmicResearchGroup/phi-physics/resolve/main/vocab.json
- Command line
-
hf download hf://AlgorithmicResearchGroup/phi-physics/vocab.json
-
curl -L -o vocab.json https://huggingface.co/AlgorithmicResearchGroup/phi-physics/resolve/main/vocab.json
798 kB
File too large to display, you can check the raw version instead.