Instructions to use aieng-lab/roberta-large_comment-type-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/roberta-large_comment-type-python with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/roberta-large_comment-type-python")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/roberta-large_comment-type-python") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/roberta-large_comment-type-python", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from aieng-lab/roberta-large_comment-type-python: direct link, hf CLI and curl.
- Browser
- Download file 711 MB
-
https://huggingface.co/aieng-lab/roberta-large_comment-type-python/resolve/main/model.safetensors
- Command line
-
hf download hf://aieng-lab/roberta-large_comment-type-python/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/aieng-lab/roberta-large_comment-type-python/resolve/main/model.safetensors
711 MB
- Xet hash:
- 4ec9936f1b9f6f002a8077cc81249cc36a11c0c88e351ce46dc38a28d9a29425
- Size of remote file:
- 711 MB
- SHA256:
- eeb25bea41098ae57f4086b7be3a1e9ee02eb5b6d91ad4fc1a9074ce14c41300
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