Instructions to use FartLabs/FART_ChemBERTa-77M-MLM_NW with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FartLabs/FART_ChemBERTa-77M-MLM_NW with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FartLabs/FART_ChemBERTa-77M-MLM_NW")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("FartLabs/FART_ChemBERTa-77M-MLM_NW") model = AutoModelForSequenceClassification.from_pretrained("FartLabs/FART_ChemBERTa-77M-MLM_NW") - Notebooks
- Google Colab
- Kaggle
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