Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use SiddharthaM/distilbert-sentiment-new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SiddharthaM/distilbert-sentiment-new with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SiddharthaM/distilbert-sentiment-new")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SiddharthaM/distilbert-sentiment-new") model = AutoModelForSequenceClassification.from_pretrained("SiddharthaM/distilbert-sentiment-new", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23daaca17fdf772bf4df0e997db778eb48bad564adc9ec08e2d070ed2f9270ae
- Size of remote file:
- 3.38 kB
- SHA256:
- 92c7281bba81704379b957c032ba72b590e8454d6105245c5c115fb950c76853
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