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:
- d8c07cff783006c9a7ede2fd092dd3c6a5de51e8e78d218a4ec35fb7fb022135
- Size of remote file:
- 3.96 kB
- SHA256:
- f3dc5105f86b5d00e15465a4a468bb6c388be14072521459e6e0f28213628a15
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