Instructions to use tweettemposhift/hate-hate_random2_seed2-bertweet-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-bertweet-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-bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random2_seed2-bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random2_seed2-bertweet-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": 0.3859424591064453, "test/eval_f1": 0.21333333333333335, "test/eval_accuracy": 0.8396739130434783, "test/eval_runtime": 0.597, "test/eval_samples_per_second": 616.443, "test/eval_steps_per_second": 77.055}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:8fa61da1b0822f1c28a613743fb28e6ba42bcd933cbe4bcb35029523d77512e2
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size 4536
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