Text Classification
Transformers
TensorBoard
Safetensors
Thai
camembert
Generated from Trainer
text-embeddings-inference
Instructions to use SandboxBhh/sentiment-thai-text-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SandboxBhh/sentiment-thai-text-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SandboxBhh/sentiment-thai-text-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SandboxBhh/sentiment-thai-text-model") model = AutoModelForSequenceClassification.from_pretrained("SandboxBhh/sentiment-thai-text-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24304e2c527798c6369637791a542dab5894849a58f309c5922e3a28fc02fbfc
- Size of remote file:
- 421 MB
- SHA256:
- bf51efdad4cb9e8ec9557ff853dc2f48af7c862e31165a650515460369394296
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