Instructions to use ruanchaves/bert-large-portuguese-cased-faquad-nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ruanchaves/bert-large-portuguese-cased-faquad-nli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ruanchaves/bert-large-portuguese-cased-faquad-nli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ruanchaves/bert-large-portuguese-cased-faquad-nli") model = AutoModelForSequenceClassification.from_pretrained("ruanchaves/bert-large-portuguese-cased-faquad-nli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61ad7b3e6bb4d775ae072a0f6fe0b639cee3c63320dca4b72ae18ff0f452108c
- Size of remote file:
- 3.7 kB
- SHA256:
- 3872bcb0e3020e0e08b083accb8e1c62da9e2a964821c3b6cdf2d04d563d77c4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.