Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use ActiveYixiao/roberta-large-ToM8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ActiveYixiao/roberta-large-ToM8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ActiveYixiao/roberta-large-ToM8")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ActiveYixiao/roberta-large-ToM8") model = AutoModelForSequenceClassification.from_pretrained("ActiveYixiao/roberta-large-ToM8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ActiveYixiao/roberta-large-ToM8: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/ActiveYixiao/roberta-large-ToM8/resolve/main/training_args.bin
- Command line
-
hf download hf://ActiveYixiao/roberta-large-ToM8/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ActiveYixiao/roberta-large-ToM8/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- 3ed5349bc27b1796746f56c8dba5e75bec3c8994ed1a8e1127c77097ce5d46a3
- Size of remote file:
- 5.78 kB
- SHA256:
- e92b7852c875a851e8be8713c2afcdbb6a81716ef068ffe1d7b9ad52b99d0c38
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