Instructions to use maretamasaeva/RobBERT_sample800_b16_e10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maretamasaeva/RobBERT_sample800_b16_e10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="maretamasaeva/RobBERT_sample800_b16_e10")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("maretamasaeva/RobBERT_sample800_b16_e10") model = AutoModelForSequenceClassification.from_pretrained("maretamasaeva/RobBERT_sample800_b16_e10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6fecd52638f8145d145d81bee30d70d8c97b152696f5e79cdb8b64d6aa00f104
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size 467276740
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