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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0cd01a6492cf8448eba445ae11b6acc5f85f4bcd382d0cd05c3517bf9e2a9e12
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size 334034464
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