Summarization
Transformers
Safetensors
English
phi
text-generation
arxiv
custom_code
text-generation-inference
Instructions to use AlgorithmicResearchGroup/phi-chemistry with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlgorithmicResearchGroup/phi-chemistry 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-chemistry", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("AlgorithmicResearchGroup/phi-chemistry", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("AlgorithmicResearchGroup/phi-chemistry", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from AlgorithmicResearchGroup/phi-chemistry: direct link, hf CLI and curl.
- Browser
- Download file 69 Bytes
-
https://huggingface.co/AlgorithmicResearchGroup/phi-chemistry/resolve/main/generation_config.json
- Command line
-
hf download hf://AlgorithmicResearchGroup/phi-chemistry/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/AlgorithmicResearchGroup/phi-chemistry/resolve/main/generation_config.json
69 Bytes
| { | |
| "_from_model_config": true, | |
| "transformers_version": "4.35.2" | |
| } | |