Text Classification
Transformers
TensorBoard
Safetensors
camembert
Generated from Trainer
text-embeddings-inference
Instructions to use Katkatkuu/ESG_Prediction_IS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Katkatkuu/ESG_Prediction_IS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Katkatkuu/ESG_Prediction_IS")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Katkatkuu/ESG_Prediction_IS") model = AutoModelForSequenceClassification.from_pretrained("Katkatkuu/ESG_Prediction_IS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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# ESG_Prediction_IS
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This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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