Instructions to use FINDA-FIT/XLM-ROBERTA_LARGE_TRUE_FP_FALSE_0.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FINDA-FIT/XLM-ROBERTA_LARGE_TRUE_FP_FALSE_0.3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FINDA-FIT/XLM-ROBERTA_LARGE_TRUE_FP_FALSE_0.3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("FINDA-FIT/XLM-ROBERTA_LARGE_TRUE_FP_FALSE_0.3") model = AutoModelForSequenceClassification.from_pretrained("FINDA-FIT/XLM-ROBERTA_LARGE_TRUE_FP_FALSE_0.3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
854f1fe | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b422c68bf2a67264d54f2ab508b3ef2652834572cab2a9391e2d4ff6152b2f11
size 2239718133
|