crumb/gpt2-medium-eb49cc

Model Card for Model ID

gpt2-medium + 16GTok from secret sauce mixture @ 2e-5 -> 2e-6 cosine schedule

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("crumb/gpt2-medium-eb49cc")
tokenizer = AutoTokenizer.from_pretrained("crumb/gpt2-medium-eb49cc")

prompt = "In a shocking finding, scientist discovered a herd of unicorns living in a remote, previously unexplored valley, in the Andes Mountains. Even more surprising to the researchers was the fact that the unicorns spoke perfect English."
input_ids = tokenizer(prompt, return_tensors="pt").input_ids
output = model.generate(input_ids, max_new_tokens=256, temperature=0.7, do_sample=True, penalty_alpha=0.6, top_k=16, repetition_penalty=1.1)
print(tokenizer.decode(output[0], skip_special_tokens=True))
# In a shocking finding, scientist discovered a herd of unicorns living in a remote, previously unexplored valley, in the Andes Mountains. Even more surprising to the researchers was the fact that the unicorns spoke perfect English.
# I'm not sure if they have any language barrier. What I do know is what makes such an amazing find possible and so compelling, and how it shows us something about the nature behind our shared universe!
# The researchers were studying the ecology on Mount Kilimanjaro when one day while hiking they stumbled across an unexpected sight: two unicorn herds grazing together. The scientists immediately realized there must be some sort - or possibly group-of organisms- that could help them understand this unusual animal behavior – especially considering its strange appearance…and the fact these animals can communicate with each other using sounds. It's as though they are communicating through the sound waves generated by their own horns. This discovery may prove crucial for understanding how we evolved to live in groups. For example...
# What does the unicorn mean? Well based off his name "Kilimander", this is a very interesting creature. He looks like he should come from another planet but has quite similar characteristics. His horn is covered up almost completely with skin so it's hard even touching him. So you would think he would use it only during mating season (when females want attention) although he might also use himself as prey during mating seasons. As a result male birds will often chase and mate directly below him to

Model Details

Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

• Developed by: [More Information Needed]
• Funded by [optional]: [More Information Needed]
• Shared by [optional]: [More Information Needed]
• Model type: [More Information Needed]
• Language(s) (NLP): [More Information Needed]
• License: [More Information Needed]
• Finetuned from model [optional]: [More Information Needed]

Model Sources [optional]

• Repository: [More Information Needed]
• Paper [optional]: [More Information Needed]
• Demo [optional]: [More Information Needed]

Uses

Direct Use

[More Information Needed]

Downstream Use [optional]

[More Information Needed]

Out-of-Scope Use

[More Information Needed]

Bias, Risks, and Limitations

[More Information Needed]

Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

[More Information Needed]

Training Details

Training Data

[More Information Needed]

Training Procedure

Preprocessing [optional]

[More Information Needed]

Training Hyperparameters

• Training regime: [More Information Needed]

Speeds, Sizes, Times [optional]

[More Information Needed]

Evaluation

Testing Data, Factors & Metrics

Testing Data

[More Information Needed]

Factors

[More Information Needed]

Metrics

[More Information Needed]

Results

[More Information Needed]

Summary

Model Examination [optional]

[More Information Needed]

Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

• Hardware Type: [More Information Needed]
• Hours used: [More Information Needed]
• Cloud Provider: [More Information Needed]
• Compute Region: [More Information Needed]
• Carbon Emitted: [More Information Needed]

Technical Specifications [optional]

Model Architecture and Objective

[More Information Needed]

Compute Infrastructure

[More Information Needed]

Hardware

[More Information Needed]

Software

[More Information Needed]

Citation [optional]

BibTeX:

[More Information Needed]

APA:

[More Information Needed]

Glossary [optional]

[More Information Needed]

More Information [optional]

[More Information Needed]

Model Card Authors [optional]

[More Information Needed]

Model Card Contact

[More Information Needed]