Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use IsaacZhy/bert-base-goemotions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IsaacZhy/bert-base-goemotions with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IsaacZhy/bert-base-goemotions", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IsaacZhy/bert-base-goemotions") model = AutoModelForSequenceClassification.from_pretrained("IsaacZhy/bert-base-goemotions", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae980972b98161e8bad5e034fea69de07e80e96c2cdb077518a6a85484ed1b73
- Size of remote file:
- 3.52 kB
- SHA256:
- acdb5953d2ac68922592059cec943b4969ee2b09a0810544cb9d15c9e7a1bff9
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