Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use rithwik-db/sentiment_version_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rithwik-db/sentiment_version_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rithwik-db/sentiment_version_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rithwik-db/sentiment_version_2") model = AutoModelForSequenceClassification.from_pretrained("rithwik-db/sentiment_version_2") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
0294c9a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:f79d963bde7610f1728557e1c5754f819edfb4382b6fa6e5db754e9c8af6741b
size 3579
|