Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use SG1123/boolq_model_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SG1123/boolq_model_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SG1123/boolq_model_v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SG1123/boolq_model_v2") model = AutoModelForSequenceClassification.from_pretrained("SG1123/boolq_model_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from SG1123/boolq_model_v2: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/SG1123/boolq_model_v2/resolve/main/training_args.bin
- Command line
-
hf download hf://SG1123/boolq_model_v2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SG1123/boolq_model_v2/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- 262254e14fe00196534c668aa437682854fdd0e72664834e79b328ca6e72802e
- Size of remote file:
- 4.54 kB
- SHA256:
- 76824656d631be19db924f45f6335b423cf1190c458e020ddb04cee7fd48637a
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