Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use afiqlol/Malay-Sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use afiqlol/Malay-Sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="afiqlol/Malay-Sentiment")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("afiqlol/Malay-Sentiment") model = AutoModelForSequenceClassification.from_pretrained("afiqlol/Malay-Sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from afiqlol/Malay-Sentiment: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/afiqlol/Malay-Sentiment/resolve/main/training_args.bin
- Command line
-
hf download hf://afiqlol/Malay-Sentiment/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/afiqlol/Malay-Sentiment/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 9c885ec2e9e98e1d0761e2251aef1c7cbe88463633559d3b68650a48c227fa92
- Size of remote file:
- 4.6 kB
- SHA256:
- 57bcc54c28f82b23be9d6cf89c00b28aa6e2c2adb1f6a40678c00cab3c8a0fbd
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