Instructions to use tweettemposhift/hate-hate_random2_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_random2_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_random2_seed0-bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/hate-hate_random2_seed0-bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/hate-hate_random2_seed0-bertweet-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4e15284d637768b69ef9ab5beb8039a8f192352e366ac4ff0b9adde0858634d
- Size of remote file:
- 540 MB
- SHA256:
- ba96d1051c20203f1b3468319a93b618ae22dda8745381e576d19d2a0f17d16a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.