Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Etelis/rtm_DistilBERT_5E with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Etelis/rtm_DistilBERT_5E with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Etelis/rtm_DistilBERT_5E")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Etelis/rtm_DistilBERT_5E") model = AutoModelForSequenceClassification.from_pretrained("Etelis/rtm_DistilBERT_5E", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
e0fdebe | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b2b6af14929c4bbeb6b21988686401118ed1037b03e5636d4ab608495018144e
size 263167661
|