Instructions to use lukecarlate/SecBERT_CM_Num with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lukecarlate/SecBERT_CM_Num with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="lukecarlate/SecBERT_CM_Num")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("lukecarlate/SecBERT_CM_Num") model = AutoModelForMaskedLM.from_pretrained("lukecarlate/SecBERT_CM_Num") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("lukecarlate/SecBERT_CM_Num")
model = AutoModelForMaskedLM.from_pretrained("lukecarlate/SecBERT_CM_Num")Quick Links
No model card
- Downloads last month
- 2
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="lukecarlate/SecBERT_CM_Num")