Feature Extraction
Transformers
PyTorch
TensorFlow
Safetensors
French
English
multilingual
xlm-roberta
sentence_embedding
search
roberta
xlm-r-distilroberta-base-paraphrase-v1
Instructions to use T-Systems-onsite/cross-en-fr-roberta-sentence-transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use T-Systems-onsite/cross-en-fr-roberta-sentence-transformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="T-Systems-onsite/cross-en-fr-roberta-sentence-transformer")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("T-Systems-onsite/cross-en-fr-roberta-sentence-transformer") model = AutoModel.from_pretrained("T-Systems-onsite/cross-en-fr-roberta-sentence-transformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add multilingual to the language tag
#2
by lbourdois - opened
Hi! A PR to add multilingual to the language tag to improve the referencing.
Many thanks for the PR.
The encoding of the umlauts is wrong with this PR.
I have to reject it. Sorry...
PhilipMay changed pull request status to closed
I used the huggingface_hub API to open the PR rather than doing it manually. It seems that it doesn't handle accents well, I'll have to talk to the HF team to add an option to indicate the desired encoding.
If you reopen the PR, I can manually correct the accents in the PR so that it no longer contains an encoding error.
Ok. Many thanks. ! :-)
PhilipMay changed pull request status to open
This should be fine by now :)
Many thanks! Works now. :-)
PhilipMay changed pull request status to merged