Instructions to use FaycalBk/ESG-bert-cnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FaycalBk/ESG-bert-cnn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FaycalBk/ESG-bert-cnn")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("FaycalBk/ESG-bert-cnn") model = AutoModelForSequenceClassification.from_pretrained("FaycalBk/ESG-bert-cnn", device_map="auto") - 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 sha256:90a2b1e06d8c849089f6a6e1657d2a44d5fa4b055a921b0e59ae3b84148ffd42
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size 437975140
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