Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use reecursion123/roberta-finetuned-inspirational with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reecursion123/roberta-finetuned-inspirational with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="reecursion123/roberta-finetuned-inspirational")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("reecursion123/roberta-finetuned-inspirational") model = AutoModelForSequenceClassification.from_pretrained("reecursion123/roberta-finetuned-inspirational", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from reecursion123/roberta-finetuned-inspirational: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/reecursion123/roberta-finetuned-inspirational/resolve/main/tokenizer.json
- Command line
-
hf download hf://reecursion123/roberta-finetuned-inspirational/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/reecursion123/roberta-finetuned-inspirational/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- df5b24c26f5f9da78cbf1828e6d173d37fae930f040361b03bd3b564fc9b3d4c
- Size of remote file:
- 17.1 MB
- SHA256:
- 8dcca5f037c4beb22bb95e204a945e0640e93d283ce622febe906fdf25a146d9
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