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:
- 9378a4cf47b06c2fb61b9f6d54ee2bdbe4ef5252b0a4fde26bde626f6b24c921
- Size of remote file:
- 144 kB
- SHA256:
- ea6666b30791b369a61522196ea5d87d993aca600f2aca3c1d225511f3d5e6da
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