Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Bennet1996/finetuning-ESG-sentiment-model-bert_new_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bennet1996/finetuning-ESG-sentiment-model-bert_new_data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Bennet1996/finetuning-ESG-sentiment-model-bert_new_data")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Bennet1996/finetuning-ESG-sentiment-model-bert_new_data") model = AutoModelForSequenceClassification.from_pretrained("Bennet1996/finetuning-ESG-sentiment-model-bert_new_data") - Notebooks
- Google Colab
- Kaggle
Sohns commited on
Commit ·
feae509
1
Parent(s): 62d1189
Training in progress, epoch 4
Browse files
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