Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use duynhatran/roberta-train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use duynhatran/roberta-train with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="duynhatran/roberta-train")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("duynhatran/roberta-train") model = AutoModelForSequenceClassification.from_pretrained("duynhatran/roberta-train", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from duynhatran/roberta-train: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/duynhatran/roberta-train/resolve/main/training_args.bin
- Command line
-
hf download hf://duynhatran/roberta-train/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/duynhatran/roberta-train/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 268a37e90f8a7a2093a4d63726ee0edddaa3980aa2efcff279cb0267468e46a8
- Size of remote file:
- 5.18 kB
- SHA256:
- 984db8860d2d4c0b26e93f857383aaf545f829485fa4aba4e16bcf0b53c6084b
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