Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use DipanAI/test_bug_temporary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DipanAI/test_bug_temporary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DipanAI/test_bug_temporary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DipanAI/test_bug_temporary") model = AutoModelForSequenceClassification.from_pretrained("DipanAI/test_bug_temporary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
2fbd34b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ea2a00847965188f451e7387bd93f4fbc6f3c8b891877e1cc47bf51ea1ddca7e
size 3963
|