Instructions to use d4data/environmental-due-diligence-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use d4data/environmental-due-diligence-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="d4data/environmental-due-diligence-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("d4data/environmental-due-diligence-model") model = AutoModelForSequenceClassification.from_pretrained("d4data/environmental-due-diligence-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e227182661863819ea6cb9f3a4a1d74203f44b485312831c38391eb76fdedd8e
- Size of remote file:
- 268 MB
- SHA256:
- 2bf23d8013963416a8bf8b2d6584cd9084871956269012dd5c6c36685d5475e3
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