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
Ctrl+K
- Aug01_11-26-56_7faef71d95dd
- Aug01_12-38-33_ac80409ecb02
- Aug01_12-53-36_ac80409ecb02
- Jul31_11-32-44_2a876a1b60dd
- Jul31_11-38-53_2a876a1b60dd
- Jul31_13-10-13_035db630201d
- Jul31_13-27-46_035db630201d
- Jul31_14-38-06_035db630201d
- Jul31_15-08-35_035db630201d
- Jul31_15-27-46_035db630201d
- Jul31_15-32-00_035db630201d
- Jul31_17-32-07_2e5acf13ca92
- Jul31_18-10-22_2e5acf13ca92
- Jul31_19-20-24_fcd3f550014b
- Jul31_19-30-57_fcd3f550014b
- Jul31_19-45-06_fcd3f550014b