Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use reecursion123/roberta-base-inspiration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reecursion123/roberta-base-inspiration with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="reecursion123/roberta-base-inspiration")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("reecursion123/roberta-base-inspiration") model = AutoModelForSequenceClassification.from_pretrained("reecursion123/roberta-base-inspiration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from reecursion123/roberta-base-inspiration: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/reecursion123/roberta-base-inspiration/resolve/main/training_args.bin
- Command line
-
hf download hf://reecursion123/roberta-base-inspiration/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/reecursion123/roberta-base-inspiration/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- e105d706a3f292ea81ffe96aef75f88df127ce21cba664cc3027aa50ac9c532f
- Size of remote file:
- 4.73 kB
- SHA256:
- 0ce8b76d103dcc31211b57483146843d33bc304b0e7aa04557b309303c9faeb1
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