Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use reiffd/bert-base-phia-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reiffd/bert-base-phia-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="reiffd/bert-base-phia-test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("reiffd/bert-base-phia-test") model = AutoModelForSequenceClassification.from_pretrained("reiffd/bert-base-phia-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 395affa5306babbfe89c7b62d296a108ba6bc7c9a860c727ab9c6b9f6e77d8bf
- Size of remote file:
- 5.18 kB
- SHA256:
- ebe4415cd314fde09375ec597d8fd4c764cfaf7f767859568cde2b86bee5898e
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