Text Classification
Transformers
TensorBoard
Safetensors
bert
Kim
10_class
Generated from Trainer
text-embeddings-inference
Instructions to use SujiKimkr/model_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SujiKimkr/model_output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SujiKimkr/model_output")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SujiKimkr/model_output") model = AutoModelForSequenceClassification.from_pretrained("SujiKimkr/model_output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
e8b23c3 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:77dcbd0fc9979303fd31a1304a408a72c6d01b9e2e80d4ca6f531ba7aca1d3fa
size 5368
|