Instructions to use gianma/classifierEUtopLevelRoberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gianma/classifierEUtopLevelRoberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gianma/classifierEUtopLevelRoberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gianma/classifierEUtopLevelRoberta") model = AutoModelForSequenceClassification.from_pretrained("gianma/classifierEUtopLevelRoberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from gianma/classifierEUtopLevelRoberta: direct link, hf CLI and curl.
- Browser
- Download file 1.35 GB
-
https://huggingface.co/gianma/classifierEUtopLevelRoberta/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://gianma/classifierEUtopLevelRoberta/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/gianma/classifierEUtopLevelRoberta/resolve/main/pytorch_model.bin
1.35 GB
- Xet hash:
- 1ce0b3ece2a94058d004f7ade9d3de22d2068703adbe1c52e03ad35dfc4f3f37
- Size of remote file:
- 1.35 GB
- SHA256:
- 30ec58d2055b6532446ed80f352617bcaf81a558694ddca9126b3ccee617086c
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