Instructions to use AnonymousSub/output_mask_step_pretraining_plus_contr_roberta-large_BOTH_EPOCHS_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/output_mask_step_pretraining_plus_contr_roberta-large_BOTH_EPOCHS_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="AnonymousSub/output_mask_step_pretraining_plus_contr_roberta-large_BOTH_EPOCHS_1")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/output_mask_step_pretraining_plus_contr_roberta-large_BOTH_EPOCHS_1") model = AutoModelForQuestionAnswering.from_pretrained("AnonymousSub/output_mask_step_pretraining_plus_contr_roberta-large_BOTH_EPOCHS_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d986cfbe6df9261fc7f2a6531924f917630b2b6aa86c23d601aa3294a89ca017
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size 1417301000
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