Text Classification
Transformers
PyTorch
TensorBoard
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use wnic00/saya_test_sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wnic00/saya_test_sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wnic00/saya_test_sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wnic00/saya_test_sentiment") model = AutoModelForSequenceClassification.from_pretrained("wnic00/saya_test_sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
e8daab6 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b3b87c4cbf6f0e5b125915a0358f5ad8bbd41ad7cbe937c2afd368d4b5ff8b26
size 17082885
|