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")# pip install -U transformers accelerate # 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
Commit History
-
Update README.md
3332a50
-
Update README.md
a0741bf
-
Update README.md
ced1478
-
Update README.md
9af5583 -
Update README.md
c19f5ca
-
Update README.md
bbf608a -
Update README.md
e1fc232
-
Update README.md
00beb4c -
Update README.md
47e6b0f -
Update README.md
e4060a5
-
Update config.json
77d8e1b -
Update tokenizer_config.json
68e356e -
Update tokenizer_config.json
5901875 -
Update config.json
2dbc057 -
Update config.json
52bb19d -
Update config.json
4c61d88 -
Update tokenizer_config.json
e1773af -
model2
Afreen Amanb942d5b
-
Update README.md
52d2315 -
Update config.json
f88aac4 -
Update tokenizer_config.json
a31e0a8 -
Update README.md
18c801f -
Update README.md
b185d26 -
files
Afreen Amanb73bde2 -
initial commit
80638f9