Transformers
PyTorch
English
electra
pretraining
Financial Language Modelling
financial-sentiment-analysis
Instructions to use SALT-NLP/FLANG-ELECTRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SALT-NLP/FLANG-ELECTRA with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("SALT-NLP/FLANG-ELECTRA") model = AutoModelForPreTraining.from_pretrained("SALT-NLP/FLANG-ELECTRA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b17ad5c227b4fcdbd6682cbbc26495e42a98feed4256358bde870401ae0fc38
- Size of remote file:
- 1.34 GB
- SHA256:
- 206611b0b7323c07b86dc215daa182f4657d6edd1002cd023eaeab9792eba4e3
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