Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use xshubhamx/bert-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xshubhamx/bert-base-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xshubhamx/bert-base-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xshubhamx/bert-base-cased") model = AutoModelForSequenceClassification.from_pretrained("xshubhamx/bert-base-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Apr13_16-36-42_fb4e66a4ef68
- checkpoint-1286
- checkpoint-1929
- checkpoint-2572
- checkpoint-3215
- checkpoint-3858
- checkpoint-4501
- checkpoint-5144
- checkpoint-5787
- checkpoint-643
- checkpoint-6430
- checkpoint-7073
- checkpoint-7716
- checkpoint-8359
- checkpoint-9002
- runs
- 1.52 kB
- 433 MB xet
- 867 MB xet
- 14.2 kB xet
- 1.06 kB xet
- 2.56 kB
- 4.92 kB xet