Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AndreiUrsu/TweetRoberta_5epochs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AndreiUrsu/TweetRoberta_5epochs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AndreiUrsu/TweetRoberta_5epochs")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AndreiUrsu/TweetRoberta_5epochs") model = AutoModelForSequenceClassification.from_pretrained("AndreiUrsu/TweetRoberta_5epochs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a10f64b745af64399bb9154381d4cd03a436b947438bfcbcd172936291bf88a7
- Size of remote file:
- 499 MB
- SHA256:
- 20d11c1dfb8d7cd971474efaf236b544822c41569f8dfbbc0a2edd7dc08601a8
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