Text Classification
Transformers
TensorBoard
Safetensors
bert
suhaeng
10class
multi_labels
Generated from Trainer
text-embeddings-inference
Instructions to use suhaeng/model_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use suhaeng/model_output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="suhaeng/model_output")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("suhaeng/model_output") model = AutoModelForSequenceClassification.from_pretrained("suhaeng/model_output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
64c957a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:0cf2a55338d833cd99a30574023f703ac99c0b133a2ce6ed5fac2faba0f27252
size 5176
|