Instructions to use tweettemposhift/hate-hate_random2_seed2-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random2_seed2-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random2_seed2-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random2_seed2-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random2_seed2-roberta-base") - Notebooks
- Google Colab
- Kaggle
commit files to HF hub
Browse files- summary.json +1 -0
- training_args.bin +3 -0
summary.json
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{"test/eval_loss": 0.2731970250606537, "test/eval_f1": 0.7272727272727272, "test/eval_accuracy": 0.9103260869565217, "test/eval_runtime": 0.587, "test/eval_samples_per_second": 626.92, "test/eval_steps_per_second": 78.365}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:0cddd3872bcb0f2c75dbdeb4d48c6b090b537d6086aa819ed77e763e6f5c34c3
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size 4536
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