Text Classification
Transformers
TensorBoard
Safetensors
camembert
Generated from Trainer
text-embeddings-inference
Instructions to use Katkatkuu/ESG_Sentiment_Prediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Katkatkuu/ESG_Sentiment_Prediction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Katkatkuu/ESG_Sentiment_Prediction")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Katkatkuu/ESG_Sentiment_Prediction") model = AutoModelForSequenceClassification.from_pretrained("Katkatkuu/ESG_Sentiment_Prediction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Katkatkuu/ESG_Sentiment_Prediction: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/Katkatkuu/ESG_Sentiment_Prediction/resolve/main/training_args.bin
- Command line
-
hf download hf://Katkatkuu/ESG_Sentiment_Prediction/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Katkatkuu/ESG_Sentiment_Prediction/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- b992cca80a20884032f7962b4350fd2a7cab31674f6b4bd7a04afed35ae485d1
- Size of remote file:
- 4.73 kB
- SHA256:
- 602b6cd09c8133a4b0157126ad4c9a8593fb46b3594835f65f11630ee2e4e588
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