Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use sasi2400/IntangibleBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sasi2400/IntangibleBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sasi2400/IntangibleBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sasi2400/IntangibleBERT") model = AutoModelForSequenceClassification.from_pretrained("sasi2400/IntangibleBERT") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
runs/Jul31_11-38-53_2a876a1b60dd/events.out.tfevents.1690803549.2a876a1b60dd.3924.0
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