Text Classification
Transformers
TensorBoard
Safetensors
English
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Hartunka/tiny_bert_km_5_v1_stsb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hartunka/tiny_bert_km_5_v1_stsb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hartunka/tiny_bert_km_5_v1_stsb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hartunka/tiny_bert_km_5_v1_stsb") model = AutoModelForSequenceClassification.from_pretrained("Hartunka/tiny_bert_km_5_v1_stsb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
c6f3db3 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7c9b5c1a8842103eee7e87e359be43431943d960a104d0abdb65159f9ef755c8
size 5368
|