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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2fe56e3967601f37c7bffcee0a2da334cfad0896b52535e900e23916909dde0
- Size of remote file:
- 5.18 kB
- SHA256:
- 4c4e46aa8b364dead1d0fcaa6f2527d69172d12a056638bc489ae6cb575f8cb4
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