Instructions to use tweettemposhift/hate-hate_balance_random3_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_balance_random3_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_balance_random3_seed2-bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_balance_random3_seed2-bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_balance_random3_seed2-bertweet-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tweettemposhift/hate-hate_balance_random3_seed2-bertweet-base: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/tweettemposhift/hate-hate_balance_random3_seed2-bertweet-base/resolve/main/training_args.bin
- Command line
-
hf download hf://tweettemposhift/hate-hate_balance_random3_seed2-bertweet-base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tweettemposhift/hate-hate_balance_random3_seed2-bertweet-base/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- e65b75c5ccf1e95c1f65c9c0f277dd2f4e8372b996ac81e88da43f056f1e52b3
- Size of remote file:
- 4.54 kB
- SHA256:
- bd11ebd2033ecdf463d8d36048fbeea06feb0ca1e726c40d987d811ddd450a7f
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