Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use GioReg/bertdbmdzIhate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GioReg/bertdbmdzIhate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="GioReg/bertdbmdzIhate")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("GioReg/bertdbmdzIhate") model = AutoModelForSequenceClassification.from_pretrained("GioReg/bertdbmdzIhate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b1aa2efbdc5f80509a6933663920f9a25408c1b3e1aab1e8848ca4c656d776d
- Size of remote file:
- 3.06 kB
- SHA256:
- a35a0cc115af1e78183ac672bf10edf840392d1eba7e856ae13b5cc6eda64d0a
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