Text Classification
Transformers
Safetensors
Burmese
xlm-roberta
aspect-based-sentiment-analysis
absa
sentiment-analysis
burmese
myanmar
text-embeddings-inference
Instructions to use Fixaro/myanmar-absa-sentiment-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fixaro/myanmar-absa-sentiment-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Fixaro/myanmar-absa-sentiment-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Fixaro/myanmar-absa-sentiment-classification") model = AutoModelForSequenceClassification.from_pretrained("Fixaro/myanmar-absa-sentiment-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
9c54276 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2687cc191964de4bb7f4a43b29e7398decc0661f77e860d9c69d77a1bf6c5fdf
size 17098184
|