Instructions to use tweettemposhift/topic-topic_random1_seed2-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/topic-topic_random1_seed2-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/topic-topic_random1_seed2-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_random1_seed2-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_random1_seed2-roberta-base") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
9622a8f | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:46c6330835294b397614ee70ff7426c61bc5b37470d47ba574616542e48f0955
size 498707566
|