Instructions to use m2af/klue-roberta-large-main_emotion-classifier-basic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m2af/klue-roberta-large-main_emotion-classifier-basic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="m2af/klue-roberta-large-main_emotion-classifier-basic")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("m2af/klue-roberta-large-main_emotion-classifier-basic") model = AutoModelForSequenceClassification.from_pretrained("m2af/klue-roberta-large-main_emotion-classifier-basic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from m2af/klue-roberta-large-main_emotion-classifier-basic: direct link, hf CLI and curl.
- Browser
- Download file 1.35 GB
-
https://huggingface.co/m2af/klue-roberta-large-main_emotion-classifier-basic/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://m2af/klue-roberta-large-main_emotion-classifier-basic/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/m2af/klue-roberta-large-main_emotion-classifier-basic/resolve/main/pytorch_model.bin
1.35 GB
- Xet hash:
- 7f29bb026bdbf3cab12e2af78d2e552133e8bb8a453c2ffabfd5a3d00fb1ee53
- Size of remote file:
- 1.35 GB
- SHA256:
- c5e4689c7fd4e0f0ea420bad1dec0ef5c6378fd4feb8c0c6334b4b734a9b054b
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