Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use jordyvl/baseline_BERT_50K_steps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jordyvl/baseline_BERT_50K_steps with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jordyvl/baseline_BERT_50K_steps")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jordyvl/baseline_BERT_50K_steps") model = AutoModelForSequenceClassification.from_pretrained("jordyvl/baseline_BERT_50K_steps", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03f2207ff447ee2a61df5bb665fa3a8e6fb0fc242b26daac53d303d5235cab4c
- Size of remote file:
- 4.34 kB
- SHA256:
- 5f238cb2ce193f29dfc9918d1d7353b294a4859f3d9d70c13324355132df8313
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