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:
- c930bada35d0e679ed6d10176ae689c07a65d55b0585c05bbbc06f6da6c91a5e
- Size of remote file:
- 4.98 kB
- SHA256:
- 2d47c6b061213016ae7e2e9ea6de0fa762d23260bb03d2a47175ba49876d331f
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