Text Classification
Transformers
TensorBoard
Safetensors
Indonesian
English
longformer
Finance
Forex
EUR/USD
Sentiment
News
Instructions to use Miruzen/LongFormer_Skripsi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Miruzen/LongFormer_Skripsi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Miruzen/LongFormer_Skripsi")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Miruzen/LongFormer_Skripsi") model = AutoModelForSequenceClassification.from_pretrained("Miruzen/LongFormer_Skripsi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41920a8b18f2cdb9f52d2e42dc280158cbfcbd4b7d63d69242d133914c2ae1b8
- Size of remote file:
- 1.19 GB
- SHA256:
- 68854ebfbf33e117faf74236126816804dd9932f3111132ea3d6f401322d9dde
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