Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use OSainz/mdt-ie-re-baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OSainz/mdt-ie-re-baseline with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OSainz/mdt-ie-re-baseline")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OSainz/mdt-ie-re-baseline") model = AutoModelForSequenceClassification.from_pretrained("OSainz/mdt-ie-re-baseline", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from OSainz/mdt-ie-re-baseline: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/OSainz/mdt-ie-re-baseline/resolve/main/training_args.bin
- Command line
-
hf download hf://OSainz/mdt-ie-re-baseline/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/OSainz/mdt-ie-re-baseline/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- 7ded957aa770a8acf275269284eb2610166c8656b15fca37ff24e095c394c4a4
- Size of remote file:
- 4.66 kB
- SHA256:
- 7b6c09b3d27c58481ec28a09158a4acd88c108c495b934a7aab9e88bc9261408
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