Instructions to use tweettemposhift/topic-topic_random1_seed0-bertweet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/topic-topic_random1_seed0-bertweet-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/topic-topic_random1_seed0-bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random1_seed0-bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random1_seed0-bertweet-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac1bc6f88dfe9b72d8f01957a6d3486401f7694be8006ee14421aeb0dcc61713
- Size of remote file:
- 540 MB
- SHA256:
- a31fd1ce323fd6e744c6034daea43ae9ad3cd94a2410c4590785b80509eac766
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