Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use themeetjani/esg-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use themeetjani/esg-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="themeetjani/esg-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("themeetjani/esg-classification") model = AutoModelForSequenceClassification.from_pretrained("themeetjani/esg-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd0cfa0de6e7b27be793d692102b9bc238de269ba2e78b0912916d8dcb47efe2
- Size of remote file:
- 712 MB
- SHA256:
- bb76d73d25f3ddc25231d297a52760c35ec23de4555a562b830146c0913945af
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