Instructions to use tweettemposhift/hate-hate_random1_seed1-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random1_seed1-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random1_seed1-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random1_seed1-roberta-large") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random1_seed1-roberta-large") - 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": 0.31136804819107056, "test/eval_f1": 0.6870229007633587, "test/eval_accuracy": 0.8885869565217391, "test/eval_runtime": 1.5169, "test/eval_samples_per_second": 242.599, "test/eval_steps_per_second": 30.325}
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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:acaed835de7fafe601e64f1db1a6b816a57dfff7f3e7845ea9c5de44f58ff487
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size 4079
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