Feature Extraction
Transformers
Safetensors
bert
chemistry
cheminformatics
materials-science
astra
property-prediction
regression
Instructions to use wkdghdus23/astra-predictor-initial-eb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wkdghdus23/astra-predictor-initial-eb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="wkdghdus23/astra-predictor-initial-eb")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("wkdghdus23/astra-predictor-initial-eb") model = AutoModel.from_pretrained("wkdghdus23/astra-predictor-initial-eb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8961821b18a42006232d858ece42ba21ffe28fb4d55a97608951409c73d9335f
- Size of remote file:
- 354 MB
- SHA256:
- efc7b8ec8a3342a738371d109ac28ed3c4510d37d2b7dda3c0437d3b7da74160
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