Feature Extraction
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use minsangK/m3-8192-5-epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use minsangK/m3-8192-5-epoch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="minsangK/m3-8192-5-epoch")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("minsangK/m3-8192-5-epoch") model = AutoModel.from_pretrained("minsangK/m3-8192-5-epoch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b66e614164d6e53097f4917bc19ea786d1c03086a81bfc64d0c3d0c8d665835
- Size of remote file:
- 17.1 MB
- SHA256:
- 1573efe7576db95b3ba7593d480be313563d20aca9da92d282ca492ccdcde13f
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