Instructions to use malaysia-ai/sentiment-mistral-191M-MLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use malaysia-ai/sentiment-mistral-191M-MLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="malaysia-ai/sentiment-mistral-191M-MLM", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("malaysia-ai/sentiment-mistral-191M-MLM", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("malaysia-ai/sentiment-mistral-191M-MLM", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Sentiment Analysis Model for Malay Text finetuned from https://huggingface.co/mesolitica/malaysian-mistral-191M-MLM-512
How to use
from classifier import MistralForSequenceClassification
model = MistralForSequenceClassification.from_pretrained('malaysia-ai/sentiment-mistral-191M-MLM')
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