Text Classification
Transformers
TensorBoard
Safetensors
English
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Hartunka/tiny_bert_rand_10_v1_rte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hartunka/tiny_bert_rand_10_v1_rte with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hartunka/tiny_bert_rand_10_v1_rte")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hartunka/tiny_bert_rand_10_v1_rte") model = AutoModelForSequenceClassification.from_pretrained("Hartunka/tiny_bert_rand_10_v1_rte", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
55629c4 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5c786f7a1280addd3736551c86bcc1c7466ade5ee7ae92d3c1c3efa6e2a27bc7
size 5368
|