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glue_mnli
predibase/glue_mnli
glue_mnli is a text generation model from predibase. Use it when you need the model to write or continue text. It is set up for peft.
Description: Does the hypothesis entail the premise?\ Original dataset: https://huggingface.co/datasets/glue/viewer/mnli \ ---\ Try querying this adapter for free in Lora Land at https://predibase.com/lora-land! \ The…
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At a glance
- Task
- Text Generation
- Library
- peft
- Access
- Public
- Created
- Feb 19, 2024
- Updated
- Feb 26, 2024
- SHA
- 6b11be56
Try a prompt
Base models
Model card
From the Hugging Face model README
Description: Does the hypothesis entail the premise?
Original dataset: https://huggingface.co/datasets/glue/viewer/mnli
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Try querying this adapter for free in Lora Land at https://predibase.com/lora-land!
The adapter_category is Academic Benchmarks and the name is Natural Language Inference (MNLI)
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Sample input: You are given a premise and a hypothesis below. If the premise entails the hypothesis, return 0. If the premise contradicts the hypothesis, return 2. Otherwise, if the premise does neither, return 1.\n\n### Premise: You and your friends are not welcome here, said Severn.\n\n### Hypothesis: Severn said the people were not welcome there.\n\n### Label:
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Sample output: 0
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Try using this adapter yourself!
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "mistralai/Mistral-7B-v0.1"
peft_model_id = "predibase/glue_mnli"
model = AutoModelForCausalLM.from_pretrained(model_id)
model.load_adapter(peft_model_id)
- Task
- Text Generation
- Library
- peft
- Created
- Feb 19, 2024
- Updated
- Feb 26, 2024