Instructions to use d4data/EnviroDueDiligence_LM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use d4data/EnviroDueDiligence_LM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="d4data/EnviroDueDiligence_LM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("d4data/EnviroDueDiligence_LM") model = AutoModelForMaskedLM.from_pretrained("d4data/EnviroDueDiligence_LM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
03f1573 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:8b59099cda019e5c0660b87df9450ef60c4252871816b4bc4ed74ce07c6e1d00
size 3768
|