Instructions to use dhanush23/emo_bert_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dhanush23/emo_bert_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dhanush23/emo_bert_1")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dhanush23/emo_bert_1") model = AutoModel.from_pretrained("dhanush23/emo_bert_1") - 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 sha256:768d0508a97599e15309b924bb1a79b249e9b2930fdeada29e634fba07b10be9
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size 437969936
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