Instructions to use nlp-chula/augment-sentiment-finnlp-th with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlp-chula/augment-sentiment-finnlp-th with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nlp-chula/augment-sentiment-finnlp-th")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nlp-chula/augment-sentiment-finnlp-th") model = AutoModelForSequenceClassification.from_pretrained("nlp-chula/augment-sentiment-finnlp-th", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nlp-chula/augment-sentiment-finnlp-th: direct link, hf CLI and curl.
- Browser
- Download file 421 MB
-
https://huggingface.co/nlp-chula/augment-sentiment-finnlp-th/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nlp-chula/augment-sentiment-finnlp-th/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nlp-chula/augment-sentiment-finnlp-th/resolve/main/pytorch_model.bin
421 MB
- Xet hash:
- 2e949ef122bdb286fc0a1d2f49ad956a06bc592f22bf4f8e59e12eb42c348965
- Size of remote file:
- 421 MB
- SHA256:
- 4ef082501853334e017c0dd0d739786494a5ad784f64c62e91ac25a3899f9a0d
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