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