Instructions to use jaykmr/ESMCrystal_t6_8M_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaykmr/ESMCrystal_t6_8M_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jaykmr/ESMCrystal_t6_8M_v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jaykmr/ESMCrystal_t6_8M_v1") model = AutoModelForSequenceClassification.from_pretrained("jaykmr/ESMCrystal_t6_8M_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download Datasets/test.csv from jaykmr/ESMCrystal_t6_8M_v1: direct link, hf CLI and curl.
- Browser
- Download file 669 kB
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https://huggingface.co/jaykmr/ESMCrystal_t6_8M_v1/resolve/main/Datasets/test.csv
- Command line
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hf download hf://jaykmr/ESMCrystal_t6_8M_v1/Datasets/test.csv
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curl -L -o test.csv https://huggingface.co/jaykmr/ESMCrystal_t6_8M_v1/resolve/main/Datasets/test.csv
669 kB
File too large to display, you can check the raw version instead.