Instructions to use ttn1410/FnStatementScore with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ttn1410/FnStatementScore with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ttn1410/FnStatementScore")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ttn1410/FnStatementScore") model = AutoModelForSequenceClassification.from_pretrained("ttn1410/FnStatementScore", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload DistilBertForSequenceClassification
Verified signatured23da91 -
Upload DistilBertForSequenceClassification
Verified signature71575de -
Upload DistilBertForSequenceClassification
Verified signature1b9c0c0 -
Upload DistilBertForSequenceClassification
Verified signaturee2a8d6b -
Upload DistilBertForSequenceClassification
Verified signature2402a2f -
Upload DistilBertForSequenceClassification
Verified signaturece9b3ba -
Upload tokenizer
Verified signature6815cd9 -
Upload DistilBertForSequenceClassification
Verified signature9108a33 -
Upload DistilBertForSequenceClassification
Verified signature8bb0d84
-
Upload tokenizer
Verified signature508acc6 -
Upload DistilBertForSequenceClassification
Verified signaturec1d667c -
initial commit
Verified signature6719ed1