Instructions to use thorszon/dk_emotion_bert_in_class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thorszon/dk_emotion_bert_in_class with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thorszon/dk_emotion_bert_in_class")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thorszon/dk_emotion_bert_in_class") model = AutoModelForSequenceClassification.from_pretrained("thorszon/dk_emotion_bert_in_class", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5eda7d4b328cf98093f506a4e9eaa154d48172dc795002be3fcf391c0ca7a448
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size 442583232
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