Instructions to use Wzf/bert_fintuuing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wzf/bert_fintuuing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Wzf/bert_fintuuing")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Wzf/bert_fintuuing") model = AutoModelForMaskedLM.from_pretrained("Wzf/bert_fintuuing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
718a8f7 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:4605b543d2ab94bbe2dce69f9fa9a4b575a3b2d25f1bd8fb935c14571b0da6cd
size 1214
|