Instructions to use SOUMYADEEPSAR/roberta_subj512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SOUMYADEEPSAR/roberta_subj512 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SOUMYADEEPSAR/roberta_subj512")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SOUMYADEEPSAR/roberta_subj512") model = AutoModelForSequenceClassification.from_pretrained("SOUMYADEEPSAR/roberta_subj512", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload config
Verified signature21cb938 -
Upload RobertaForSequenceClassification
Verified signaturea386371 -
Upload tokenizer
Verified signature45027f5 -
Upload RobertaForSequenceClassification
Verified signature723a5b8 -
Upload tokenizer
Verified signaturef5b763b -
initial commit
Verified signature773e510