Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use maxschlake/roberta-base_disaster_tweets_fire with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maxschlake/roberta-base_disaster_tweets_fire with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="maxschlake/roberta-base_disaster_tweets_fire")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("maxschlake/roberta-base_disaster_tweets_fire") model = AutoModelForSequenceClassification.from_pretrained("maxschlake/roberta-base_disaster_tweets_fire", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from maxschlake/roberta-base_disaster_tweets_fire: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/maxschlake/roberta-base_disaster_tweets_fire/resolve/main/tokenizer.json
- Command line
-
hf download hf://maxschlake/roberta-base_disaster_tweets_fire/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/maxschlake/roberta-base_disaster_tweets_fire/resolve/main/tokenizer.json
2.11 MB
File too large to display, you can check the raw version instead.