Instructions to use sshreyy/eml_parse_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sshreyy/eml_parse_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sshreyy/eml_parse_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sshreyy/eml_parse_1") model = AutoModelForSequenceClassification.from_pretrained("sshreyy/eml_parse_1", 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:dcc436dd4fe26ebce8030b8e4dda1883749c8ea585aca034242c365bb4a2ef62
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size 46754248
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