Instructions to use tweettemposhift/hate-hate_random0_seed0-bertweet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/hate-hate_random0_seed0-bertweet-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/hate-hate_random0_seed0-bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random0_seed0-bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random0_seed0-bertweet-base") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): ae0a988
commit files to HF hub
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- training_args.bin +3 -0
summary.json
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{"test/eval_loss": 0.3530879616737366, "test/eval_f1": 0.49180327868852464, "test/eval_accuracy": 0.8315217391304348, "test/eval_runtime": 0.6367, "test/eval_samples_per_second": 577.952, "test/eval_steps_per_second": 72.244}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:2fc05b213ad1c5bc21ae552f38d21e198f2e87a4f395fc519bf925d4d5817d89
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size 4536
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