Instructions to use YagiASAFAS/PhilippinesPoliBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YagiASAFAS/PhilippinesPoliBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YagiASAFAS/PhilippinesPoliBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YagiASAFAS/PhilippinesPoliBERT") model = AutoModelForSequenceClassification.from_pretrained("YagiASAFAS/PhilippinesPoliBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Create vocab.txt
Verified signature5c416f3 -
Create tokenizer_config.json
Verified signature5d52c0b -
Create tokenizer.json
Verified signature5e0ae8e -
Create special_tokens_map.json
Verified signaturec9b3409 -
PhilippinesPoliBERT Push
Verified signature688e38f -
Training in progress, epoch 7
Verified signatureaca3217 -
Training in progress, epoch 4
Verified signature4e98e8a -
Training in progress, epoch 1
Verified signature1d07b0e -
Training in progress, epoch 1
Verified signatured678842 -
Training in progress, epoch 1
Verified signaturede7723e -
Training in progress, epoch 1
Verified signature6554d8c -
Training in progress, epoch 1
Verified signature44987e5 -
initial commit
Verified signatureeb18a04