Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use jelinek/finetuning-sentiment-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jelinek/finetuning-sentiment-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jelinek/finetuning-sentiment-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jelinek/finetuning-sentiment-model") model = AutoModelForSequenceClassification.from_pretrained("jelinek/finetuning-sentiment-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
cae9fa3 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2dc1e232794f309ddefcf270365f28be1e244bcd4c129f22fb42b92b072a91bf
size 3951
|