Text Classification
Transformers
PyTorch
English
bert
Trained with AutoTrain
DEV
Eval Results (legacy)
text-embeddings-inference
Instructions to use FinanceInc/auditor_sentiment_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinanceInc/auditor_sentiment_finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FinanceInc/auditor_sentiment_finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("FinanceInc/auditor_sentiment_finetuned") model = AutoModelForSequenceClassification.from_pretrained("FinanceInc/auditor_sentiment_finetuned") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened about 3 years ago
by
SFconvertbot