Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use namesarnav/causalbench_text-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use namesarnav/causalbench_text-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="namesarnav/causalbench_text-roberta-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("namesarnav/causalbench_text-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("namesarnav/causalbench_text-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from namesarnav/causalbench_text-roberta-base: direct link, hf CLI and curl.
- Browser
- Download file 5.91 kB
-
https://huggingface.co/namesarnav/causalbench_text-roberta-base/resolve/main/training_args.bin
- Command line
-
hf download hf://namesarnav/causalbench_text-roberta-base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/namesarnav/causalbench_text-roberta-base/resolve/main/training_args.bin
5.91 kB
- Xet hash:
- f49448a825720d6ad8dfdd6f4cce8b070792355864bb7674647ad8946700370e
- Size of remote file:
- 5.91 kB
- SHA256:
- 9b0838509de8229715762cba8ff125f97a2a45ea264c590c46c87faabb460232
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