Instructions to use EvgeniaKomleva/rpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EvgeniaKomleva/rpt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EvgeniaKomleva/rpt")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EvgeniaKomleva/rpt") model = AutoModelForSequenceClassification.from_pretrained("EvgeniaKomleva/rpt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload ./pytorch_model.bin with huggingface_hub (#3)
- Upload ./pytorch_model.bin with huggingface_hub (6510d89bfaa738ac0cb7a97f93e3ce1c97b08e2c)b71c820
-
Upload ./pytorch_model.bin with huggingface_hub (#2)
- Upload ./pytorch_model.bin with huggingface_hub (dd423b93f072f317b0a4e1e2425776446c7a7158) Co-authored-by: Anima AI <animaai@users.noreply.huggingface.co>29c8c28 -
Upload ./pytorch_model.bin with huggingface_hub (#1)
- Upload ./pytorch_model.bin with huggingface_hub (5974f685dde8ba4f55307833aa48b7a3c739b7cb) Co-authored-by: Anima AI <animaai@users.noreply.huggingface.co>8e2aa9f
-
Rename best.pth to pytorch_model.bin
59e01c2 -
Model
7dda565 -
.
e846772 -
Upload config.json
8ffa962 -
Model
104f1ba -
Create best.pth
f060840 -
initial commit
a3255d7