Text Classification
Transformers
PyTorch
Thai
camembert
Generated from Trainer
text-embeddings-inference
Instructions to use Thaweewat/wangchanberta-hyperopt-sentiment-01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Thaweewat/wangchanberta-hyperopt-sentiment-01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Thaweewat/wangchanberta-hyperopt-sentiment-01")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Thaweewat/wangchanberta-hyperopt-sentiment-01") model = AutoModelForSequenceClassification.from_pretrained("Thaweewat/wangchanberta-hyperopt-sentiment-01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e84e4b8eab876687cfc829010656cb95473b26e6f946d3152f84a396e588c18
- Size of remote file:
- 3.96 kB
- SHA256:
- 61cbe59a6deb8fd13acc159befd97a2ef23566122853f3a7fe4429791a33a62c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.