Instructions to use facebook/w2v-bert-2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/w2v-bert-2.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="facebook/w2v-bert-2.0")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("facebook/w2v-bert-2.0") model = AutoModel.from_pretrained("facebook/w2v-bert-2.0") - Notebooks
- Google Colab
- Kaggle
How to use n-gram with this model?
#24
by zkarapet00 - opened
I am trying to get better results with my fine-tuned w2v-bert-2.0.
I have already fine-tuned an n-gram using KenLM as well.
How to combine the LM with the processor of this model?
@StephennFernandes Had the same problem, check out https://huggingface.co/facebook/w2v-bert-2.0/discussions/22#66413b479cb0add00b664b12