Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use ActiveYixiao/roberta-large-ToM0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ActiveYixiao/roberta-large-ToM0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ActiveYixiao/roberta-large-ToM0")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ActiveYixiao/roberta-large-ToM0") model = AutoModelForSequenceClassification.from_pretrained("ActiveYixiao/roberta-large-ToM0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ActiveYixiao/roberta-large-ToM0: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/ActiveYixiao/roberta-large-ToM0/resolve/main/training_args.bin
- Command line
-
hf download hf://ActiveYixiao/roberta-large-ToM0/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ActiveYixiao/roberta-large-ToM0/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- 7fc7da4b76d58dade28e8a33ff2e539bb82136919e738a179b9f0f426f875ed8
- Size of remote file:
- 5.78 kB
- SHA256:
- 5b89bde57c4f050c2bca19cbf6d8cf7315de495026cfc6f35680d9cbcaf551f9
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