Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use jayanta/bert-base-cased-sentweet-profane with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jayanta/bert-base-cased-sentweet-profane with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jayanta/bert-base-cased-sentweet-profane")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jayanta/bert-base-cased-sentweet-profane") model = AutoModelForSequenceClassification.from_pretrained("jayanta/bert-base-cased-sentweet-profane", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from jayanta/bert-base-cased-sentweet-profane: direct link, hf CLI and curl.
- Browser
- Download file 669 kB
-
https://huggingface.co/jayanta/bert-base-cased-sentweet-profane/resolve/main/tokenizer.json
- Command line
-
hf download hf://jayanta/bert-base-cased-sentweet-profane/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/jayanta/bert-base-cased-sentweet-profane/resolve/main/tokenizer.json
669 kB
File too large to display, you can check the raw version instead.