Instructions to use Mim/pro-cell-expert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mim/pro-cell-expert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mim/pro-cell-expert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mim/pro-cell-expert") model = AutoModelForSequenceClassification.from_pretrained("Mim/pro-cell-expert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a352e3eaf91717759020881989768e57d2fc28bdeff5ba032cdc887e6aa6fb05
- Size of remote file:
- 7.46 kB
- SHA256:
- c6c0ea15d008633aa9f0041d6735e0bbebaf543929d0696be5bb9fb35a52c5ca
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