modelId stringlengths 4 111 | lastModified stringlengths 24 24 | tags list | pipeline_tag stringlengths 5 30 โ | author stringlengths 2 34 โ | config null | securityStatus null | id stringlengths 4 111 | likes int64 0 9.53k | downloads int64 2 73.6M | library_name stringlengths 2 84 โ | created timestamp[us] | card stringlengths 101 901k | card_len int64 101 901k | embeddings list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ai-forever/mGPT-1.3B-tajik | 2023-08-11T08:02:34.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"gpt3",
"mgpt",
"tg",
"en",
"ru",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | ai-forever | null | null | ai-forever/mGPT-1.3B-tajik | 2 | 2 | transformers | 2023-08-10T05:12:02 | ---
language:
- tg
- en
- ru
license: mit
tags:
- gpt3
- transformers
- mgpt
---
# ๐น๐ฏ Tajik mGPT 1.3B
Language model for Tajik. Model has 1.3B parameters as you can guess from it's name.
Tajik belongs to Indo-European language family. It's a very fluid language with approximately 8.2 million speakers. Here are some... | 3,160 | [
[
-0.045654296875,
-0.037200927734375,
0.0197601318359375,
0.031829833984375,
-0.0309906005859375,
0.01520538330078125,
-0.0205230712890625,
-0.047760009765625,
0.035003662109375,
0.0170440673828125,
-0.054229736328125,
-0.050628662109375,
-0.0467529296875,
0.... |
SaurabhArora/vehicle_defects_2 | 2023-08-16T04:30:40.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"vit",
"image-classification",
"huggingpics",
"dataset:chittaranjankhatua/car_damage_pub",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | SaurabhArora | null | null | SaurabhArora/vehicle_defects_2 | 0 | 2 | transformers | 2023-08-10T06:27:12 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: vehicle_defects_2
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.7204301357269287
datasets:
- chittaranjankhatua... | 1,067 | [
[
-0.040740966796875,
-0.036346435546875,
0.040435791015625,
0.032470703125,
-0.035369873046875,
0.0224609375,
0.0271759033203125,
-0.04107666015625,
0.00730133056640625,
0.0192108154296875,
-0.04071044921875,
-0.028106689453125,
-0.032684326171875,
-0.0252532... |
Evan-Lin/Bart-abs-yelp-entailment-20 | 2023-08-11T06:55:33.000Z | [
"transformers",
"pytorch",
"bart",
"text2text-generation",
"trl",
"reinforcement-learning",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | Evan-Lin | null | null | Evan-Lin/Bart-abs-yelp-entailment-20 | 0 | 2 | transformers | 2023-08-10T08:36:52 | ---
license: apache-2.0
tags:
- trl
- transformers
- reinforcement-learning
---
# TRL Model
This is a [TRL language model](https://github.com/lvwerra/trl) that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text ... | 1,261 | [
[
-0.00679779052734375,
-0.059967041015625,
0.0271759033203125,
0.00887298583984375,
-0.0244140625,
0.005558013916015625,
0.0014972686767578125,
-0.021148681640625,
0.00585174560546875,
0.034454345703125,
-0.05633544921875,
-0.03802490234375,
-0.0294647216796875,
... |
bigcode/santacoderpack | 2023-08-16T08:37:40.000Z | [
"transformers",
"pytorch",
"gpt_bigcode",
"fill-mask",
"code",
"text-generation",
"dataset:bigcode/commitpack-subset-cf",
"arxiv:2308.07124",
"license:bigcode-openrail-m",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | bigcode | null | null | bigcode/santacoderpack | 5 | 2 | transformers | 2023-08-10T14:35:42 | ---
pipeline_tag: text-generation
inference: true
widget:
- text: '<commit_before>def has_close_elements(numbers: List[float], threshold: float) -> bool:\n for idx, elem in enumerate(numbers):\n for idx2, elem2 in enumerate(numbers):\n if idx != idx2:\n distance = elem - elem2\n ... | 5,805 | [
[
-0.028167724609375,
-0.033203125,
0.021881103515625,
0.0120391845703125,
-0.0099029541015625,
-0.0250091552734375,
-0.029632568359375,
-0.03460693359375,
0.0006756782531738281,
0.0171051025390625,
-0.03936767578125,
-0.0438232421875,
-0.040557861328125,
0.00... |
TheBloke/orca_mini_v3_13B-GGML | 2023-09-27T13:01:15.000Z | [
"transformers",
"llama",
"text-generation",
"en",
"dataset:psmathur/orca_mini_v1_dataset",
"dataset:ehartford/dolphin",
"arxiv:2306.02707",
"license:llama2",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/orca_mini_v3_13B-GGML | 12 | 2 | transformers | 2023-08-10T15:50:29 | ---
language:
- en
license: llama2
library_name: transformers
datasets:
- psmathur/orca_mini_v1_dataset
- ehartford/dolphin
model_name: Orca Mini v3 13B
inference: false
model_creator: Pankaj Mathur
model_link: https://huggingface.co/psmathur/orca_mini_v3_13b
model_type: llama
pipeline_tag: text-generation
quantized_by... | 18,851 | [
[
-0.040679931640625,
-0.06744384765625,
0.0163421630859375,
0.0035228729248046875,
-0.02862548828125,
-0.014556884765625,
0.00302886962890625,
-0.05291748046875,
0.0288238525390625,
0.0053558349609375,
-0.041595458984375,
-0.042022705078125,
-0.0308380126953125,
... |
suyash2102/model-en-to-fr | 2023-08-15T18:22:56.000Z | [
"transformers",
"pytorch",
"tensorboard",
"marian",
"text2text-generation",
"translation",
"generated_from_trainer",
"dataset:kde4",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | translation | suyash2102 | null | null | suyash2102/model-en-to-fr | 0 | 2 | transformers | 2023-08-10T17:11:11 | ---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-fr
tags:
- translation
- generated_from_trainer
datasets:
- kde4
model-index:
- name: model-en-to-fr
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread ... | 2,315 | [
[
-0.0260467529296875,
-0.0460205078125,
0.02044677734375,
0.022247314453125,
-0.0243988037109375,
-0.033935546875,
-0.018157958984375,
-0.0269317626953125,
0.01177215576171875,
0.054168701171875,
-0.031951904296875,
-0.02447509765625,
-0.06683349609375,
0.014... |
weiren119/traditional_chinese_qlora_llama2_13b_merged | 2023-08-11T12:02:07.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | weiren119 | null | null | weiren119/traditional_chinese_qlora_llama2_13b_merged | 0 | 2 | transformers | 2023-08-11T00:37:57 | ---
license: apache-2.0
---
# Traditional Chinese QLoRa Llama2 13b
- Github repo: https://github.com/MIBlue119/traditional_chinese_llama2/
- This is a practice to finetune Llama2 on traditional chinese instruction dataset at Llama2 chat model.
- Use qlora and the alpaca translated dataset to finetune llama2-7b mode... | 4,068 | [
[
-0.016265869140625,
-0.065185546875,
0.01316070556640625,
0.023712158203125,
-0.0235137939453125,
-0.001659393310546875,
-0.01282501220703125,
-0.030853271484375,
0.003253936767578125,
0.01543426513671875,
-0.046417236328125,
-0.0291748046875,
-0.021865844726562... |
uraskargi/ppo-Pyramids | 2023-08-11T01:20:55.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | uraskargi | null | null | uraskargi/ppo-Pyramids | 0 | 2 | ml-agents | 2023-08-11T01:19:09 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | 1,334 | [
[
-0.04022216796875,
-0.034515380859375,
0.0017795562744140625,
0.01436614990234375,
-0.01119232177734375,
0.012054443359375,
0.0167083740234375,
-0.014495849609375,
0.033203125,
0.03033447265625,
-0.04046630859375,
-0.050537109375,
-0.029083251953125,
-0.0148... |
smjain/abap-nous-hermes | 2023-08-11T04:23:09.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:smjain/abap",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | smjain | null | null | smjain/abap-nous-hermes | 0 | 2 | transformers | 2023-08-11T01:38:14 | ---
license: apache-2.0
datasets:
- smjain/abap
language:
- en
---
This model is fine tuned on a very small ABAP dataset . Have used NousResearch/Llama-2-7b-chat-hf as the base model.
Sample code
from transformers import pipeline
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "smjain/abap-... | 688 | [
[
-0.01654052734375,
-0.03228759765625,
0.01947021484375,
0.014129638671875,
-0.01568603515625,
-0.018798828125,
0.00928497314453125,
-0.0152130126953125,
0.01062774658203125,
0.05206298828125,
-0.06109619140625,
-0.033599853515625,
-0.037689208984375,
0.03182... |
Carmesix/Sentiment_Analysis_12000sample | 2023-08-11T04:21:59.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:imdb",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | Carmesix | null | null | Carmesix/Sentiment_Analysis_12000sample | 0 | 2 | transformers | 2023-08-11T03:05:09 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: Sentiment_Analysis_12000sample
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
... | 1,612 | [
[
-0.045074462890625,
-0.0450439453125,
0.01334381103515625,
0.0181884765625,
-0.0391845703125,
-0.00421142578125,
-0.00922393798828125,
-0.0010805130004882812,
0.025115966796875,
0.0228271484375,
-0.059967041015625,
-0.046875,
-0.063720703125,
0.0006365776062... |
unionai/Llama-2-13b-LoRA-alpaca-cleaned | 2023-11-06T08:52:58.000Z | [
"peft",
"region:us"
] | null | unionai | null | null | unionai/Llama-2-13b-LoRA-alpaca-cleaned | 0 | 2 | peft | 2023-08-11T06:10:19 | ---
library_name: peft
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: True
- llm_int8_has_fp16_weigh... | 861 | [
[
-0.05059814453125,
-0.053619384765625,
0.0235595703125,
0.03619384765625,
-0.041656494140625,
0.006572723388671875,
0.007068634033203125,
-0.0235595703125,
-0.01059722900390625,
0.027008056640625,
-0.04925537109375,
-0.017608642578125,
-0.036773681640625,
0.... |
muhammadravi251001/fine-tuned-KoreanNLI-KorNLI-with-xlm-roberta-large | 2023-08-14T04:47:32.000Z | [
"transformers",
"pytorch",
"tensorboard",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | muhammadravi251001 | null | null | muhammadravi251001/fine-tuned-KoreanNLI-KorNLI-with-xlm-roberta-large | 0 | 2 | transformers | 2023-08-11T06:40:57 | ---
license: mit
base_model: xlm-roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: fine-tuned-KoreanNLI-KorNLI-with-xlm-roberta-large
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should proba... | 2,026 | [
[
-0.0355224609375,
-0.04168701171875,
0.0240325927734375,
-0.00440216064453125,
-0.024383544921875,
-0.016754150390625,
-0.020904541015625,
-0.01428985595703125,
0.01190948486328125,
0.03509521484375,
-0.0550537109375,
-0.0516357421875,
-0.047882080078125,
-0... |
TheBloke/Platypus2-70B-GGML | 2023-09-27T13:01:18.000Z | [
"transformers",
"llama",
"en",
"dataset:garage-bAInd/Open-Platypus",
"arxiv:2308.07317",
"arxiv:2307.09288",
"license:llama2",
"text-generation-inference",
"region:us"
] | null | TheBloke | null | null | TheBloke/Platypus2-70B-GGML | 9 | 2 | transformers | 2023-08-11T06:48:18 | ---
language:
- en
license: llama2
datasets:
- garage-bAInd/Open-Platypus
model_name: Platypus2 70B
inference: false
model_creator: garage-bAInd
model_link: https://huggingface.co/garage-bAInd/Platypus2-70B
model_type: llama
quantized_by: TheBloke
base_model: garage-bAInd/Platypus2-70B
---
<!-- header start -->
<!-- 2... | 18,353 | [
[
-0.042999267578125,
-0.06024169921875,
0.03167724609375,
0.02374267578125,
-0.03326416015625,
-0.0037479400634765625,
-0.01078033447265625,
-0.031982421875,
0.0280609130859375,
0.004425048828125,
-0.042266845703125,
-0.038116455078125,
-0.035369873046875,
0.... |
anth0nyhak1m/demo_model | 2023-08-11T08:34:52.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | anth0nyhak1m | null | null | anth0nyhak1m/demo_model | 0 | 2 | transformers | 2023-08-11T08:33:38 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: demo_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# demo... | 1,895 | [
[
-0.0341796875,
-0.04193115234375,
0.01488494873046875,
0.008514404296875,
-0.020843505859375,
-0.0218048095703125,
-0.0029850006103515625,
-0.00553131103515625,
0.01291656494140625,
0.017852783203125,
-0.052001953125,
-0.052459716796875,
-0.05364990234375,
-... |
Jingya/tiny-stable-diffusion-torch | 2023-08-11T10:32:59.000Z | [
"diffusers",
"license:apache-2.0",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | Jingya | null | null | Jingya/tiny-stable-diffusion-torch | 0 | 2 | diffusers | 2023-08-11T10:30:16 | ---
license: apache-2.0
duplicated_from: hf-internal-testing/tiny-stable-diffusion-torch
---
```python
from diffusers import StableDiffusionPipeline
pipe = StableDiffusionPipeline.from_pretrained("Jingya/tiny-stable-diffusion-torch")
```
| 241 | [
[
-0.000885009765625,
-0.036590576171875,
0.01386260986328125,
0.0242462158203125,
-0.025665283203125,
0.010009765625,
0.02130126953125,
0.0374755859375,
0.00815582275390625,
0.0239715576171875,
-0.0258026123046875,
-0.007663726806640625,
-0.0411376953125,
-0.... |
caiAtSNU/PyramidsRND | 2023-08-11T12:53:24.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | caiAtSNU | null | null | caiAtSNU/PyramidsRND | 0 | 2 | ml-agents | 2023-08-11T12:53:20 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | 1,332 | [
[
-0.0411376953125,
-0.035430908203125,
0.0016927719116210938,
0.01409149169921875,
-0.01019287109375,
0.0128631591796875,
0.0165863037109375,
-0.01541900634765625,
0.033599853515625,
0.03033447265625,
-0.04150390625,
-0.049774169921875,
-0.0297088623046875,
-... |
yogjoshi14/ppo-Pyramids_Training | 2023-08-11T13:29:03.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | yogjoshi14 | null | null | yogjoshi14/ppo-Pyramids_Training | 0 | 2 | ml-agents | 2023-08-11T13:29:01 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | 1,344 | [
[
-0.040374755859375,
-0.034088134765625,
0.0012187957763671875,
0.01409912109375,
-0.01116180419921875,
0.01209259033203125,
0.0166015625,
-0.01568603515625,
0.033294677734375,
0.0288848876953125,
-0.040771484375,
-0.049346923828125,
-0.029541015625,
-0.01453... |
dhinman/ppo-PyramidsTraining | 2023-08-11T14:22:56.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | dhinman | null | null | dhinman/ppo-PyramidsTraining | 0 | 2 | ml-agents | 2023-08-11T14:22:52 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | 1,340 | [
[
-0.039581298828125,
-0.03387451171875,
0.0018930435180664062,
0.01355743408203125,
-0.0105438232421875,
0.01253509521484375,
0.017822265625,
-0.01367950439453125,
0.032470703125,
0.03045654296875,
-0.04034423828125,
-0.04937744140625,
-0.029144287109375,
-0.... |
Vegeballoon/videomae-base-ssv2-finetuned-mixed-v2-label-smoothing-focalloss0.7_5-less-strict | 2023-08-12T23:49:23.000Z | [
"transformers",
"pytorch",
"videomae",
"video-classification",
"generated_from_trainer",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | video-classification | Vegeballoon | null | null | Vegeballoon/videomae-base-ssv2-finetuned-mixed-v2-label-smoothing-focalloss0.7_5-less-strict | 0 | 2 | transformers | 2023-08-11T17:20:41 | ---
license: cc-by-nc-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-ssv2-finetuned-mixed-v2-label-smoothing-focalloss0.7_5-less-strict
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should p... | 2,768 | [
[
-0.04498291015625,
-0.044677734375,
0.01326751708984375,
0.002643585205078125,
-0.0205841064453125,
-0.017791748046875,
-0.0009860992431640625,
-0.0018720626831054688,
0.035247802734375,
0.03009033203125,
-0.0540771484375,
-0.0543212890625,
-0.057769775390625,
... |
stoyky/ppo-Pyramids | 2023-08-11T18:45:36.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | stoyky | null | null | stoyky/ppo-Pyramids | 0 | 2 | ml-agents | 2023-08-11T18:44:57 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | 1,331 | [
[
-0.039337158203125,
-0.03466796875,
0.0024089813232421875,
0.014007568359375,
-0.0119171142578125,
0.01190185546875,
0.016448974609375,
-0.01505279541015625,
0.034515380859375,
0.029571533203125,
-0.03997802734375,
-0.050506591796875,
-0.02935791015625,
-0.0... |
Bastian1111/ppo-PyramidsRND | 2023-08-11T20:49:47.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | Bastian1111 | null | null | Bastian1111/ppo-PyramidsRND | 0 | 2 | ml-agents | 2023-08-11T20:49:43 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | 1,339 | [
[
-0.040374755859375,
-0.033782958984375,
0.0022792816162109375,
0.0131988525390625,
-0.01052093505859375,
0.0131988525390625,
0.0167236328125,
-0.014862060546875,
0.032806396484375,
0.03033447265625,
-0.040924072265625,
-0.04949951171875,
-0.0298919677734375,
... |
whywynn/ppo-PyramidsTraining | 2023-08-11T21:28:30.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | whywynn | null | null | whywynn/ppo-PyramidsTraining | 0 | 2 | ml-agents | 2023-08-11T21:28:27 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | 1,340 | [
[
-0.0401611328125,
-0.033599853515625,
0.0019063949584960938,
0.0144195556640625,
-0.01033782958984375,
0.01163482666015625,
0.0175018310546875,
-0.0140380859375,
0.03314208984375,
0.03076171875,
-0.0408935546875,
-0.050018310546875,
-0.029510498046875,
-0.01... |
BauyrjanQ/whisper-kk-speech2ner-b16-ms8k-ss2K-8ep-s-ksc_t | 2023-08-12T20:25:53.000Z | [
"transformers",
"pytorch",
"tensorboard",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | BauyrjanQ | null | null | BauyrjanQ/whisper-kk-speech2ner-b16-ms8k-ss2K-8ep-s-ksc_t | 0 | 2 | transformers | 2023-08-11T23:04:54 | ---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-kk-speech2ner-b16-ms4k-ss2K-8ep-wlv2-ksc_t
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comme... | 1,549 | [
[
-0.0164947509765625,
-0.03173828125,
0.0131683349609375,
0.014801025390625,
-0.0212249755859375,
-0.0275421142578125,
-0.0120391845703125,
-0.0105438232421875,
-0.00708770751953125,
0.0186767578125,
-0.059112548828125,
-0.048370361328125,
-0.050811767578125,
... |
aeolian83/poly-ko-1.3b-translate | 2023-08-13T13:29:17.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"causal-lm",
"ko",
"dataset:squarelike/sharegpt_deepl_ko_translation",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | aeolian83 | null | null | aeolian83/poly-ko-1.3b-translate | 2 | 2 | transformers | 2023-08-12T06:10:33 | ---
license: apache-2.0
language:
- ko
datasets:
- squarelike/sharegpt_deepl_ko_translation
tags:
- pytorch
- causal-lm
---
# poly-ko-1.3b-translate
- EleutherAI/polyglot-ko-1.3b์ squarelike/sharegpt_deepl_ko_translation์ผ๋ก ์ํ ๋ฒ์ญ๋ง ๊ฐ๋ฅํ๋๋ก fine-tuningํ ๋ชจ๋ธ
- QRoLA๊ธฐ๋ฒ์ผ๋ก fine-tunnig
### ํ๋ จ ์ ๋ณด
- Epoch: 1
- learning-rate: 3e-... | 410 | [
[
-0.0289154052734375,
-0.062103271484375,
0.0205230712890625,
0.0430908203125,
-0.06976318359375,
-0.0097503662109375,
-0.004913330078125,
-0.0004756450653076172,
0.0338134765625,
0.0241546630859375,
-0.044219970703125,
-0.052093505859375,
-0.048309326171875,
... |
rizquuula/mBERT-IndoSQuADv2_1691852742-16-2e-06-0.01-5 | 2023-08-12T22:44:06.000Z | [
"transformers",
"pytorch",
"bert",
"question-answering",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | rizquuula | null | null | rizquuula/mBERT-IndoSQuADv2_1691852742-16-2e-06-0.01-5 | 0 | 2 | transformers | 2023-08-12T15:08:29 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: mBERT-IndoSQuADv2_1691852742-16-2e-06-0.01-5
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this commen... | 1,536 | [
[
-0.03515625,
-0.04327392578125,
0.00785064697265625,
0.022125244140625,
-0.033294677734375,
-0.023895263671875,
-0.0191650390625,
-0.011993408203125,
0.0070648193359375,
0.024261474609375,
-0.05206298828125,
-0.03692626953125,
-0.04681396484375,
-0.018630981... |
rizquuula/mBERT-IndoSQuADv2_1691852823-8-2e-06-0.01-5 | 2023-08-12T23:14:05.000Z | [
"transformers",
"pytorch",
"bert",
"question-answering",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | rizquuula | null | null | rizquuula/mBERT-IndoSQuADv2_1691852823-8-2e-06-0.01-5 | 0 | 2 | transformers | 2023-08-12T15:09:52 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: mBERT-IndoSQuADv2_1691852823-8-2e-06-0.01-5
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment... | 1,532 | [
[
-0.034820556640625,
-0.04376220703125,
0.00897216796875,
0.02178955078125,
-0.0328369140625,
-0.0240325927734375,
-0.019073486328125,
-0.012115478515625,
0.0081329345703125,
0.0243682861328125,
-0.052154541015625,
-0.037139892578125,
-0.046630859375,
-0.0185... |
ReporterMarina/autotrain-clean-broker-fee-81843141864 | 2023-08-12T16:08:02.000Z | [
"transformers",
"pytorch",
"safetensors",
"deberta",
"text-classification",
"autotrain",
"en",
"dataset:ReporterMarina/autotrain-data-clean-broker-fee",
"co2_eq_emissions",
"endpoints_compatible",
"region:us"
] | text-classification | ReporterMarina | null | null | ReporterMarina/autotrain-clean-broker-fee-81843141864 | 0 | 2 | transformers | 2023-08-12T16:07:28 | ---
tags:
- autotrain
- text-classification
language:
- en
widget:
- text: "I love AutoTrain"
datasets:
- ReporterMarina/autotrain-data-clean-broker-fee
co2_eq_emissions:
emissions: 0.1612062835596046
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 81843141864
- CO2 Emissi... | 1,334 | [
[
-0.0306854248046875,
-0.024139404296875,
0.0083770751953125,
0.007843017578125,
-0.0010499954223632812,
0.00449371337890625,
0.0033626556396484375,
-0.0181884765625,
-0.001407623291015625,
0.0094757080078125,
-0.04449462890625,
-0.034271240234375,
-0.05487060546... |
Francesco-A/distilbert-base-uncased-finetuned-imdb-v2 | 2023-08-12T17:21:16.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"fill-mask",
"generated_from_trainer",
"en",
"dataset:imdb",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | Francesco-A | null | null | Francesco-A/distilbert-base-uncased-finetuned-imdb-v2 | 0 | 2 | transformers | 2023-08-12T16:44:44 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: distilbert-base-uncased-finetuned-imdb
results: []
language:
- en
metrics:
- perplexity
---
# distilbert-base-uncased-finetuned-imdb-v2
This model is a fine-tuned version of [distilbert-b... | 3,689 | [
[
-0.03216552734375,
-0.05169677734375,
0.00091552734375,
0.0091552734375,
-0.0313720703125,
0.012359619140625,
-0.00377655029296875,
-0.0003170967102050781,
0.0250396728515625,
0.034698486328125,
-0.051177978515625,
-0.035003662109375,
-0.0718994140625,
-0.00... |
Xenova/toxic-bert | 2023-08-12T17:22:07.000Z | [
"transformers.js",
"onnx",
"bert",
"text-classification",
"region:us"
] | text-classification | Xenova | null | null | Xenova/toxic-bert | 0 | 2 | transformers.js | 2023-08-12T17:21:50 | ---
library_name: "transformers.js"
---
https://huggingface.co/unitary/toxic-bert with ONNX weights to be compatible with Transformers.js.
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend... | 497 | [
[
-0.0255889892578125,
0.0099029541015625,
0.0262908935546875,
0.0504150390625,
-0.00705718994140625,
0.0003237724304199219,
-0.005146026611328125,
-0.0235595703125,
0.019134521484375,
0.0350341796875,
-0.052734375,
-0.035552978515625,
-0.036285400390625,
-0.0... |
zyacub/hugging_face_QA | 2023-08-12T18:18:21.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | zyacub | null | null | zyacub/hugging_face_QA | 0 | 2 | transformers | 2023-08-12T17:35:12 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: hugging_face_QA
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it... | 1,521 | [
[
-0.032470703125,
-0.051055908203125,
0.007213592529296875,
0.029937744140625,
-0.022857666015625,
-0.00311279296875,
0.0026721954345703125,
-0.0135650634765625,
0.0095367431640625,
0.0181121826171875,
-0.07244873046875,
-0.0433349609375,
-0.054412841796875,
... |
Trelis/mpt-7b-instruct-hosted-inference-8bit | 2023-08-14T11:45:18.000Z | [
"transformers",
"pytorch",
"mpt",
"text-generation",
"Composer",
"MosaicML",
"llm-foundry",
"hosted inference",
"8 bit",
"8bit",
"8-bit",
"custom_code",
"dataset:mosaicml/dolly_hhrlhf",
"arxiv:2205.14135",
"arxiv:2108.12409",
"arxiv:2010.04245",
"license:cc-by-sa-3.0",
"text-genera... | text-generation | Trelis | null | null | Trelis/mpt-7b-instruct-hosted-inference-8bit | 0 | 2 | transformers | 2023-08-12T17:45:58 | ---
license: cc-by-sa-3.0
datasets:
- mosaicml/dolly_hhrlhf
tags:
- Composer
- MosaicML
- llm-foundry
- hosted inference
- 8 bit
- 8bit
- 8-bit
inference: true
---
# MPT 7B Instruct - hosted inference
This is simply an 8-bit version of the mpt-7b-instruct model.
- 8-bits allows the model to be below 10 GB
- This all... | 10,034 | [
[
-0.03363037109375,
-0.04718017578125,
0.0153350830078125,
0.020294189453125,
-0.0272674560546875,
-0.00585174560546875,
0.0010204315185546875,
-0.018524169921875,
0.007049560546875,
0.0246124267578125,
-0.04730224609375,
-0.03228759765625,
-0.047088623046875,
... |
Xenova/m2m100_418M | 2023-09-04T14:40:56.000Z | [
"transformers.js",
"onnx",
"m2m_100",
"text2text-generation",
"translation",
"region:us"
] | translation | Xenova | null | null | Xenova/m2m100_418M | 1 | 2 | transformers.js | 2023-08-12T20:41:11 | ---
library_name: transformers.js
pipeline_tag: translation
---
https://huggingface.co/facebook/m2m100_418M with ONNX weights to be compatible with Transformers.js.
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your mode... | 523 | [
[
-0.038360595703125,
0.011016845703125,
0.0236358642578125,
0.05657958984375,
-0.0022983551025390625,
-0.004268646240234375,
0.0012178421020507812,
-0.0139312744140625,
0.0273895263671875,
0.038543701171875,
-0.06744384765625,
-0.03240966796875,
-0.04458618164062... |
degor/ppp-Pyramids | 2023-08-13T01:27:21.000Z | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | reinforcement-learning | degor | null | null | degor/ppp-Pyramids | 0 | 2 | ml-agents | 2023-08-13T01:26:19 | ---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
... | 1,330 | [
[
-0.04132080078125,
-0.03399658203125,
0.0017004013061523438,
0.01474761962890625,
-0.0101470947265625,
0.01251983642578125,
0.0166778564453125,
-0.01485443115234375,
0.03314208984375,
0.029388427734375,
-0.039703369140625,
-0.049774169921875,
-0.0296173095703125... |
Suchinthana/MT-5-Sinhala-Wikigen | 2023-09-06T17:18:56.000Z | [
"transformers",
"pytorch",
"safetensors",
"mt5",
"text2text-generation",
"si",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | Suchinthana | null | null | Suchinthana/MT-5-Sinhala-Wikigen | 0 | 2 | transformers | 2023-08-13T09:08:38 | ---
license: apache-2.0
language:
- si
widget:
- text: 'writeWiki: เถธเทเถฑเท เถเทเทเถป'
- text: 'writeWiki: เถเทเถฝเทเถบเถเถปเถซเถบ'
- text: 'writeWiki: เถขเถเถเถธ เถฏเทเถปเถเถฎเถฑเถบ'
- text: 'writeWiki: เถเทเทเถเทเถธเทเทเถปเท'
- text: 'writeWiki: เถ
เถฑเทเถปเทเถฐเถดเทเถปเถบ'
datasets:
- wikipedia
---
### Fine tuned MT5 base model with Sinhala Wikipedia Dataset
This model is fine tuned ... | 1,289 | [
[
-0.0288238525390625,
-0.0408935546875,
0.01275634765625,
-0.0015115737915039062,
-0.038177490234375,
-0.015411376953125,
-0.0212860107421875,
0.00009453296661376953,
0.0040283203125,
0.04449462890625,
-0.07049560546875,
-0.0293426513671875,
-0.03167724609375,
... |
manuu01/xtremedistil-l6-h256-uncased-nli | 2023-08-16T10:09:36.000Z | [
"transformers",
"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"dataset:scitail",
"dataset:multi_nli",
"dataset:anli",
"dataset:snli",
"dataset:bias-amplified-splits/wanli",
"endpoints_compatible",
"region:us"
] | text-classification | manuu01 | null | null | manuu01/xtremedistil-l6-h256-uncased-nli | 0 | 2 | transformers | 2023-08-13T21:37:40 | ---
tags:
- generated_from_keras_callback
model-index:
- name: xtremedistil-l6-h256-uncased-nli
results: []
datasets:
- scitail
- multi_nli
- anli
- snli
- bias-amplified-splits/wanli
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proof... | 1,290 | [
[
-0.0172882080078125,
-0.0183563232421875,
0.0199432373046875,
0.00711822509765625,
-0.0207366943359375,
-0.016387939453125,
0.005466461181640625,
-0.032318115234375,
0.0281982421875,
0.027008056640625,
-0.051971435546875,
-0.048583984375,
-0.059967041015625,
... |
Xenova/ClinicalBERT | 2023-09-01T21:39:15.000Z | [
"transformers.js",
"onnx",
"distilbert",
"fill-mask",
"feature-extraction",
"region:us"
] | feature-extraction | Xenova | null | null | Xenova/ClinicalBERT | 0 | 2 | transformers.js | 2023-08-13T22:08:44 | ---
library_name: transformers.js
pipeline_tag: feature-extraction
---
https://huggingface.co/medicalai/ClinicalBERT with ONNX weights to be compatible with Transformers.js.
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make ... | 532 | [
[
-0.0168609619140625,
0.0205078125,
0.036956787109375,
0.04351806640625,
-0.00354766845703125,
-0.0006527900695800781,
-0.0017805099487304688,
-0.0125579833984375,
0.0352783203125,
0.038543701171875,
-0.046051025390625,
-0.054290771484375,
-0.04656982421875,
... |
steve-tong/opus-mt-en-zh-hk | 2023-08-14T02:35:00.000Z | [
"transformers",
"pytorch",
"tensorboard",
"marian",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | steve-tong | null | null | steve-tong/opus-mt-en-zh-hk | 0 | 2 | transformers | 2023-08-14T02:23:13 | ---
license: apache-2.0
base_model: steve-tong/opus-mt-en-zh-tw
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-en-zh-hk
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete... | 4,953 | [
[
-0.05145263671875,
-0.031494140625,
0.0197906494140625,
0.00814056396484375,
-0.006443023681640625,
-0.006618499755859375,
0.004428863525390625,
-0.0031681060791015625,
0.049407958984375,
0.028411865234375,
-0.042694091796875,
-0.0452880859375,
-0.04364013671875... |
potatomine/keras-dummy-sequential-demo-test | 2023-08-14T04:52:51.000Z | [
"keras",
"region:us"
] | null | potatomine | null | null | potatomine/keras-dummy-sequential-demo-test | 0 | 2 | keras | 2023-08-14T04:46:38 | ---
library_name: keras
---
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters ... | 739 | [
[
-0.03778076171875,
-0.04107666015625,
0.028533935546875,
0.00582122802734375,
-0.03399658203125,
-0.016204833984375,
0.0013608932495117188,
-0.00040984153747558594,
0.0233917236328125,
0.021697998046875,
-0.04510498046875,
-0.04913330078125,
-0.034637451171875,
... |
dantepalacio/ruLongT5-Large | 2023-08-16T10:13:07.000Z | [
"transformers",
"pytorch",
"longt5",
"text2text-generation",
"ru",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | dantepalacio | null | null | dantepalacio/ruLongT5-Large | 0 | 2 | transformers | 2023-08-14T08:56:57 | ---
language:
- ru
---
original model: agemagician/mlong-t5-tglobal-large
adaptation guide: https://towardsdatascience.com/how-to-adapt-a-multilingual-t5-model-for-a-single-language-b9f94f3d9c90
import torch
from transformers import MT5Tokenizer, LongT5ForConditionalGeneration
model_name = "dantepalacio/ruLongT5-La... | 475 | [
[
-0.0101165771484375,
-0.006420135498046875,
0.01873779296875,
0.030029296875,
-0.027069091796875,
-0.0113372802734375,
-0.0305328369140625,
-0.024658203125,
-0.00614166259765625,
0.041839599609375,
-0.06365966796875,
-0.035552978515625,
-0.037139892578125,
0... |
ajibawa-2023/carl-llama-2-13b | 2023-08-16T20:16:44.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:jerryjalapeno/nart-100k-synthetic",
"license:cc-by-nc-nd-4.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | ajibawa-2023 | null | null | ajibawa-2023/carl-llama-2-13b | 10 | 2 | transformers | 2023-08-14T10:07:25 | ---
license: cc-by-nc-nd-4.0
datasets:
- jerryjalapeno/nart-100k-synthetic
language:
- en
---
**Carl: A Therapist AI**
Early prevention can help lot of people to avoid depression and other mental illnesses. Therapy is a controversial use case because the outputs and capabilities of LLMs are uncertain.
Many people do... | 1,920 | [
[
-0.0247955322265625,
-0.071044921875,
0.039947509765625,
0.033416748046875,
-0.0212554931640625,
-0.00247955322265625,
-0.0018186569213867188,
-0.053070068359375,
0.004085540771484375,
0.01434326171875,
-0.03057861328125,
-0.0243682861328125,
-0.051361083984375,... |
TheBloke/llama2-22B-daydreamer-v2-GGML | 2023-09-27T13:01:26.000Z | [
"transformers",
"llama",
"license:llama2",
"text-generation-inference",
"region:us"
] | null | TheBloke | null | null | TheBloke/llama2-22B-daydreamer-v2-GGML | 4 | 2 | transformers | 2023-08-14T12:10:07 | ---
license: llama2
model_name: Llama2 22B Daydreamer v2
inference: false
model_creator: Nick Perez
model_link: https://huggingface.co/nkpz/llama2-22b-daydreamer-v2
model_type: llama
quantized_by: TheBloke
base_model: nkpz/llama2-22b-daydreamer-v2
---
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; marg... | 15,485 | [
[
-0.034088134765625,
-0.058837890625,
0.0308074951171875,
0.0231170654296875,
-0.0283355712890625,
-0.00896453857421875,
0.00263214111328125,
-0.05010986328125,
0.0269622802734375,
0.00949859619140625,
-0.051910400390625,
-0.04345703125,
-0.03729248046875,
-0... |
TheBloke/PULI-GPT-3SX-GGML | 2023-09-27T13:01:26.000Z | [
"transformers",
"gpt-neox",
"text-generation",
"puli",
"hu",
"license:cc-by-nc-4.0",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/PULI-GPT-3SX-GGML | 4 | 2 | transformers | 2023-08-14T14:56:57 | ---
language:
- hu
license: cc-by-nc-4.0
tags:
- text-generation
- puli
model_name: PULI GPT 3SX
inference: false
model_creator: NYTK
model_link: https://huggingface.co/NYTK/PULI-GPT-3SX
model_type: gpt-neox
quantized_by: TheBloke
widget:
- text: Elmesรฉlek egy tรถrtรฉnetet a nyelvtechnolรณgiรกrรณl.
base_model: NYTK/PULI-GPT... | 8,980 | [
[
-0.039154052734375,
-0.055877685546875,
0.03167724609375,
0.01032257080078125,
-0.018157958984375,
-0.02032470703125,
-0.0002238750457763672,
-0.04339599609375,
0.0192413330078125,
0.01360321044921875,
-0.0380859375,
-0.033294677734375,
-0.0258636474609375,
... |
Chars/DeepDanbooruClip | 2023-08-14T19:22:23.000Z | [
"transformers",
"pytorch",
"clip",
"zero-shot-image-classification",
"vision",
"endpoints_compatible",
"region:us"
] | zero-shot-image-classification | Chars | null | null | Chars/DeepDanbooruClip | 0 | 2 | transformers | 2023-08-14T18:49:21 | ---
tags:
- vision
widget:
- src: https://huggingface.co/Chars/DeepDanbooruClip/resolve/main/example.jpg
candidate_labels: Azur Lane, 3 girl with sword, cat ear, a dog
example_title: Azur Lane
- src: https://huggingface.co/Chars/DeepDanbooruClip/resolve/main/example2.jpg
candidate_labels: 1 girl with black hair, ... | 495 | [
[
-0.0445556640625,
-0.0545654296875,
0.0157470703125,
0.0343017578125,
-0.033355712890625,
-0.004886627197265625,
0.01082611083984375,
-0.041412353515625,
0.07586669921875,
0.030609130859375,
-0.061676025390625,
-0.0352783203125,
-0.02532958984375,
0.02085876... |
allenai/specter2_aug2023refresh_regression | 2023-08-15T21:45:11.000Z | [
"adapter-transformers",
"bert",
"dataset:allenai/scirepeval",
"region:us"
] | null | allenai | null | null | allenai/specter2_aug2023refresh_regression | 0 | 2 | adapter-transformers | 2023-08-14T19:28:16 | ---
tags:
- bert
- adapter-transformers
datasets:
- allenai/scirepeval
---
# Adapter `allenai/specter2_aug2023refresh_regression` for `allenai/specter2_aug2023refresh_base`
An [adapter](https://adapterhub.ml) for the `None` model that was trained on the [allenai/scirepeval](https://huggingface.co/datasets/allenai/sci... | 9,491 | [
[
-0.013824462890625,
-0.0232696533203125,
0.032470703125,
0.01113128662109375,
-0.007106781005859375,
-0.0155792236328125,
-0.0179901123046875,
-0.04815673828125,
0.030731201171875,
0.00489044189453125,
-0.022430419921875,
-0.0186767578125,
-0.05194091796875,
... |
minchiosa/vit-base-patch16-224-finetuned-flower | 2023-09-14T04:57:01.000Z | [
"transformers",
"pytorch",
"safetensors",
"vit",
"image-classification",
"generated_from_trainer",
"dataset:imagefolder",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | minchiosa | null | null | minchiosa/vit-base-patch16-224-finetuned-flower | 0 | 2 | transformers | 2023-08-14T21:39:50 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imagefolder
base_model: google/vit-base-patch16-224
model-index:
- name: vit-base-patch16-224-finetuned-flower
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should pr... | 1,159 | [
[
-0.0307769775390625,
-0.06048583984375,
0.007091522216796875,
0.0204315185546875,
-0.030059814453125,
-0.038909912109375,
-0.01384735107421875,
-0.0225677490234375,
0.00707244873046875,
0.0233001708984375,
-0.057830810546875,
-0.036407470703125,
-0.0434265136718... |
Mimi-2023/roberta-finetuned-subjqa-hotels | 2023-08-15T07:17:28.000Z | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"question-answering",
"generated_from_trainer",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | Mimi-2023 | null | null | Mimi-2023/roberta-finetuned-subjqa-hotels | 0 | 2 | transformers | 2023-08-15T05:01:52 | ---
license: cc-by-4.0
base_model: deepset/roberta-base-squad2
tags:
- generated_from_trainer
model-index:
- name: roberta-finetuned-subjqa-hotels
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete i... | 1,114 | [
[
-0.031707763671875,
-0.047576904296875,
0.0101470947265625,
0.003017425537109375,
-0.0271453857421875,
-0.0233612060546875,
-0.019134521484375,
-0.0157623291015625,
0.004764556884765625,
0.036895751953125,
-0.06689453125,
-0.0450439453125,
-0.047119140625,
-... |
davesoma/SageBeluga13 | 2023-08-22T12:59:24.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | davesoma | null | null | davesoma/SageBeluga13 | 0 | 2 | transformers | 2023-08-15T13:19:04 | <strong style="font-size: 24px;">"My name is Epicurus, but my friends call me "Epic" for short. "<strong style="font-size: 24px;"></strong>.
<strong style="font-size: 24px;">SageBeluga13B</strong> Stoic assistant fine-tuned by <strong style="font-size: 24px;">dscompounding.com</strong>.
<img src="https://cdn-uploads.... | 1,559 | [
[
-0.041839599609375,
-0.06341552734375,
0.019134521484375,
0.0204315185546875,
-0.02899169921875,
0.001079559326171875,
-0.011566162109375,
-0.0294952392578125,
0.05377197265625,
0.01142120361328125,
-0.04119873046875,
-0.02313232421875,
-0.0689697265625,
0.0... |
TheBloke/Llama2-22B-Daydreamer-v3-GGML | 2023-09-27T13:01:29.000Z | [
"transformers",
"llama",
"license:llama2",
"text-generation-inference",
"region:us"
] | null | TheBloke | null | null | TheBloke/Llama2-22B-Daydreamer-v3-GGML | 6 | 2 | transformers | 2023-08-15T20:03:20 | ---
license: llama2
model_name: Llama2 22B Daydreamer2 v3
inference: false
model_creator: Nick Perez
model_link: https://huggingface.co/nkpz/llama2-22b-daydreamer-v3
model_type: llama
quantized_by: TheBloke
base_model: nkpz/llama2-22b-daydreamer-v3
---
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; mar... | 18,788 | [
[
-0.034088134765625,
-0.058685302734375,
0.0305938720703125,
0.0237884521484375,
-0.0266265869140625,
-0.00952911376953125,
0.0026035308837890625,
-0.051422119140625,
0.0294342041015625,
0.009246826171875,
-0.052459716796875,
-0.043914794921875,
-0.03912353515625... |
stanfordnlp/stanza-gv | 2023-10-02T23:37:08.000Z | [
"stanza",
"token-classification",
"gv",
"license:apache-2.0",
"region:us"
] | token-classification | stanfordnlp | null | null | stanfordnlp/stanza-gv | 0 | 2 | stanza | 2023-08-16T00:30:38 | ---
tags:
- stanza
- token-classification
library_name: stanza
language: gv
license: apache-2.0
---
# Stanza model for Manx (gv)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings ... | 677 | [
[
-0.0283050537109375,
-0.037078857421875,
0.026702880859375,
0.0240936279296875,
-0.025177001953125,
-0.0030422210693359375,
0.0014123916625976562,
-0.0325927734375,
0.01250457763671875,
0.037750244140625,
-0.05084228515625,
-0.04510498046875,
-0.02398681640625,
... |
stanfordnlp/stanza-ky | 2023-10-02T23:41:16.000Z | [
"stanza",
"token-classification",
"ky",
"license:apache-2.0",
"region:us"
] | token-classification | stanfordnlp | null | null | stanfordnlp/stanza-ky | 1 | 2 | stanza | 2023-08-16T00:31:02 | ---
tags:
- stanza
- token-classification
library_name: stanza
language: ky
license: apache-2.0
---
# Stanza model for Kyrgyz (ky)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza bring... | 679 | [
[
-0.0260009765625,
-0.056732177734375,
0.0169677734375,
0.025482177734375,
-0.031097412109375,
-0.00797271728515625,
-0.0230865478515625,
-0.037200927734375,
0.0100555419921875,
0.04449462890625,
-0.047882080078125,
-0.0552978515625,
-0.0217132568359375,
-0.0... |
Siddhanta19/sd-checkpoint-backup | 2023-09-20T05:44:18.000Z | [
"diffusers",
"en",
"license:gpl-3.0",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | Siddhanta19 | null | null | Siddhanta19/sd-checkpoint-backup | 1 | 2 | diffusers | 2023-08-16T06:20:26 | ---
license: gpl-3.0
language:
- en
library_name: diffusers
duplicated_from: shiowo/backups
---
credit to shiowo/backups. This is just a fork of the repo
my backups
if you want me to remove a model you can leave a comment in community section
feel free to download contains any v4 and 4.5 and more soon :D
shiowo/backu... | 982 | [
[
-0.02606201171875,
-0.0298919677734375,
0.0292510986328125,
0.02130126953125,
-0.03424072265625,
-0.01204681396484375,
0.033203125,
-0.0372314453125,
0.04876708984375,
0.07427978515625,
-0.06512451171875,
-0.021392822265625,
-0.0250244140625,
-0.000240325927... |
fengtc/opus-mt-en-zh | 2023-08-16T06:45:39.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"marian",
"text2text-generation",
"translation",
"en",
"zh",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | fengtc | null | null | fengtc/opus-mt-en-zh | 0 | 2 | transformers | 2023-08-16T06:42:30 | ---
language:
- en
- zh
tags:
- translation
license: apache-2.0
---
### eng-zho
* source group: English
* target group: Chinese
* OPUS readme: [eng-zho](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zho/README.md)
* model: transformer
* source language(s): eng
* target language(s): cjy... | 2,670 | [
[
-0.028961181640625,
-0.03643798828125,
0.0242919921875,
0.0296173095703125,
-0.040252685546875,
-0.0180511474609375,
-0.0227508544921875,
-0.0307464599609375,
0.0204315185546875,
0.0214080810546875,
-0.047027587890625,
-0.060272216796875,
-0.0307464599609375,
... |
TheBloke/Scarlett-7B-GGML | 2023-09-27T13:01:30.000Z | [
"transformers",
"llama",
"en",
"license:other",
"text-generation-inference",
"region:us"
] | null | TheBloke | null | null | TheBloke/Scarlett-7B-GGML | 4 | 2 | transformers | 2023-08-16T07:59:44 | ---
language:
- en
license: other
model_name: Scarlett 7B
inference: false
model_creator: Feynman Innovations
model_link: https://huggingface.co/ajibawa-2023/scarlett-7b
model_type: llama
quantized_by: TheBloke
base_model: ajibawa-2023/scarlett-7b
---
<!-- header start -->
<div style="width: 100%;">
<img src="http... | 13,449 | [
[
-0.044097900390625,
-0.059326171875,
0.0235748291015625,
0.021331787109375,
-0.01033782958984375,
-0.009735107421875,
0.0015649795532226562,
-0.04180908203125,
0.032470703125,
0.01085662841796875,
-0.0560302734375,
-0.034393310546875,
-0.044097900390625,
-0.... |
TheBloke/Scarlett-7B-GPTQ | 2023-09-27T13:01:31.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"en",
"license:other",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Scarlett-7B-GPTQ | 1 | 2 | transformers | 2023-08-16T07:59:44 | ---
language:
- en
license: other
model_name: Scarlett 7B
inference: false
model_creator: Feynman Innovations
model_link: https://huggingface.co/ajibawa-2023/scarlett-7b
model_type: llama
quantized_by: TheBloke
base_model: ajibawa-2023/scarlett-7b
---
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; marg... | 14,915 | [
[
-0.043121337890625,
-0.061004638671875,
0.01004791259765625,
0.0201568603515625,
-0.0130462646484375,
-0.00986480712890625,
0.010986328125,
-0.04180908203125,
0.02301025390625,
0.0250396728515625,
-0.054412841796875,
-0.0243682861328125,
-0.03094482421875,
-... |
TheBloke/Scarlett-13B-GGML | 2023-09-27T13:01:31.000Z | [
"transformers",
"llama",
"en",
"license:other",
"text-generation-inference",
"region:us"
] | null | TheBloke | null | null | TheBloke/Scarlett-13B-GGML | 2 | 2 | transformers | 2023-08-16T08:37:56 | ---
language:
- en
license: other
model_name: Scarlett 13B
inference: false
model_creator: Feynman Innovations
model_link: https://huggingface.co/ajibawa-2023/scarlett-13b
model_type: llama
quantized_by: TheBloke
base_model: ajibawa-2023/scarlett-13b
---
<!-- header start -->
<div style="width: 100%;">
<img src="h... | 13,516 | [
[
-0.042510986328125,
-0.060302734375,
0.0234527587890625,
0.0212249755859375,
-0.01038360595703125,
-0.010162353515625,
0.002002716064453125,
-0.041748046875,
0.033111572265625,
0.00980377197265625,
-0.05572509765625,
-0.034393310546875,
-0.0439453125,
-0.003... |
TheBloke/Scarlett-13B-GPTQ | 2023-09-27T13:01:32.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"en",
"license:other",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Scarlett-13B-GPTQ | 5 | 2 | transformers | 2023-08-16T08:37:56 | ---
language:
- en
license: other
model_name: Scarlett 13B
inference: false
model_creator: Feynman Innovations
model_link: https://huggingface.co/ajibawa-2023/scarlett-13b
model_type: llama
quantized_by: TheBloke
base_model: ajibawa-2023/scarlett-13b
---
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; m... | 14,943 | [
[
-0.04278564453125,
-0.061859130859375,
0.00963592529296875,
0.0202484130859375,
-0.0124053955078125,
-0.0094146728515625,
0.01059722900390625,
-0.042022705078125,
0.0228271484375,
0.0242919921875,
-0.055511474609375,
-0.0237579345703125,
-0.0310516357421875,
... |
piratos/ct2fast-docsgpt-14b | 2023-08-16T11:42:13.000Z | [
"transformers",
"text-generation",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | piratos | null | null | piratos/ct2fast-docsgpt-14b | 1 | 2 | transformers | 2023-08-16T09:01:04 | ---
license: apache-2.0
language:
- en
library_name: transformers
pipeline_tag: text-generation
---
This model is fine tuned on top of llama-2-13b
DocsGPT is optimized for Documentation: Specifically fine-tuned for providing answers that are based on documentation provided in context, making it particularly useful f... | 8,841 | [
[
-0.03546142578125,
-0.04620361328125,
0.032928466796875,
0.0027980804443359375,
-0.0169219970703125,
0.0092010498046875,
-0.00798797607421875,
-0.030670166015625,
0.037353515625,
0.0203094482421875,
-0.043548583984375,
-0.05255126953125,
-0.033294677734375,
... |
ihanif/speecht5_finetuned_voxpopuli_lt | 2023-08-16T13:42:25.000Z | [
"transformers",
"pytorch",
"tensorboard",
"speecht5",
"text-to-audio",
"generated_from_trainer",
"audio",
"text-to-speech",
"lt",
"dataset:voxpopuli",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-to-speech | ihanif | null | null | ihanif/speecht5_finetuned_voxpopuli_lt | 0 | 2 | transformers | 2023-08-16T10:33:06 | ---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
- audio
- text-to-speech
datasets:
- voxpopuli
model-index:
- name: speecht5_finetuned_voxpopuli_lt
results: []
pipeline_tag: text-to-speech
language:
- lt
---
<!-- This model card has been generated automatically according to the inf... | 1,680 | [
[
-0.0312042236328125,
-0.040679931640625,
-0.00278472900390625,
0.0067901611328125,
-0.0204010009765625,
-0.02313232421875,
-0.01373291015625,
-0.00853729248046875,
-0.01126861572265625,
0.0205535888671875,
-0.048248291015625,
-0.049652099609375,
-0.0430908203125... |
juliussteen/DeBERTa-v3-FaithAug | 2023-08-16T16:33:44.000Z | [
"transformers",
"pytorch",
"safetensors",
"deberta-v2",
"text-classification",
"dataset:anli",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | juliussteen | null | null | juliussteen/DeBERTa-v3-FaithAug | 1 | 2 | transformers | 2023-08-16T15:03:29 | ---
license: mit
datasets:
- anli
library_name: transformers
---
This is a Deberta-v3 large NLI model that has been finetuned on augmented ANLI data to improve performance for faithfulness evaluation, particularly in a knowledge-grounded dialog setting.
See https://aclanthology.org/2023.acl-short.79 for details. The m... | 663 | [
[
-0.0028476715087890625,
-0.07208251953125,
0.033233642578125,
0.01517486572265625,
-0.00864410400390625,
-0.0234222412109375,
0.006618499755859375,
-0.049896240234375,
0.0330810546875,
0.038909912109375,
-0.03216552734375,
-0.0253448486328125,
-0.026443481445312... |
kyujinpy/Tune-A-VideKO-disney | 2023-08-17T11:04:46.000Z | [
"diffusers",
"tune-a-video",
"text-to-video",
"korean",
"arxiv:2212.11565",
"arxiv:2112.10752",
"license:creativeml-openrail-m",
"diffusers:TuneAVideoPipeline",
"region:us"
] | text-to-video | kyujinpy | null | null | kyujinpy/Tune-A-VideKO-disney | 3 | 2 | diffusers | 2023-08-16T19:13:40 | ---
license: creativeml-openrail-m
base_model: kyujinpy/Tune-A-VideKO-disney
training_prompt: A bear is playing guitar
tags:
- tune-a-video
- text-to-video
- diffusers
- korean
inference: false
---
# Tune-A-VideKO-anything
Github: [Kyujinpy/Tune-A-VideKO](https://github.com/KyujinHan/Tune-A-VideKO)
## Model Descripti... | 1,898 | [
[
-0.04449462890625,
-0.06304931640625,
0.02032470703125,
0.025604248046875,
-0.0284881591796875,
-0.007724761962890625,
-0.0187530517578125,
0.0081329345703125,
0.01476287841796875,
0.0241241455078125,
-0.049041748046875,
-0.042083740234375,
-0.043304443359375,
... |
OpenAssistant/falcon-40b-megacode2-oasst | 2023-08-18T09:06:07.000Z | [
"transformers",
"safetensors",
"falcon",
"text-generation",
"dataset:OpenAssistant/oasst1",
"dataset:rombodawg/LosslessMegaCodeTrainingV2_1m_Evol_Uncensored",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | OpenAssistant | null | null | OpenAssistant/falcon-40b-megacode2-oasst | 6 | 2 | transformers | 2023-08-17T01:30:35 | ---
license: apache-2.0
datasets:
- OpenAssistant/oasst1
- rombodawg/LosslessMegaCodeTrainingV2_1m_Evol_Uncensored
---
# falcon-40b-megacode2-oasst
- wandb: stage 1: [run37_megacode_falcon40](https://wandb.ai/open-assistant/epfl-mt-sft/runs/run37_megacode_falcon40), stage 2: [run38_megacode_oasst_falcon40](https://wa... | 1,732 | [
[
-0.049652099609375,
-0.059051513671875,
0.01306915283203125,
0.019195556640625,
-0.00040078163146972656,
-0.01165771484375,
-0.0028209686279296875,
-0.0220947265625,
0.0271148681640625,
0.034881591796875,
-0.053131103515625,
-0.0281829833984375,
-0.0377807617187... |
Villian7/HumanEmotions | 2023-10-20T00:14:52.000Z | [
"transformers",
"pytorch",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | Villian7 | null | null | Villian7/HumanEmotions | 0 | 2 | transformers | 2023-08-17T03:07:06 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: HumanEmotions
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
confi... | 1,826 | [
[
-0.034637451171875,
-0.03265380859375,
0.01052093505859375,
0.01947021484375,
-0.0267791748046875,
-0.021331787109375,
-0.007785797119140625,
-0.01085662841796875,
0.01259613037109375,
0.008087158203125,
-0.05914306640625,
-0.050079345703125,
-0.05377197265625,
... |
HangenYuu/xlm-roberta-large-finetuned-hate-implicit | 2023-08-17T14:33:17.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | HangenYuu | null | null | HangenYuu/xlm-roberta-large-finetuned-hate-implicit | 0 | 2 | transformers | 2023-08-17T10:33:54 | ---
license: mit
base_model: joeddav/xlm-roberta-large-xnli
tags:
- generated_from_trainer
model-index:
- name: xlm-roberta-large-finetuned-hate-implicit
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and com... | 1,352 | [
[
-0.0301971435546875,
-0.04864501953125,
0.0286865234375,
0.00949859619140625,
-0.0216522216796875,
-0.033447265625,
-0.0224456787109375,
-0.0283050537109375,
0.00522613525390625,
0.0310821533203125,
-0.053558349609375,
-0.047607421875,
-0.048309326171875,
-0... |
Prikshit7766/en_pipeline | 2023-08-17T11:54:05.000Z | [
"spacy",
"text-classification",
"en",
"region:us"
] | text-classification | Prikshit7766 | null | null | Prikshit7766/en_pipeline | 0 | 2 | spacy | 2023-08-17T11:53:22 | ---
tags:
- spacy
- text-classification
language:
- en
model-index:
- name: en_pipeline
results: []
---
| Feature | Description |
| --- | --- |
| **Name** | `en_pipeline` |
| **Version** | `0.0.0` |
| **spaCy** | `>=3.5.1,<3.6.0` |
| **Default Pipeline** | `textcat` |
| **Components** | `textcat` |
| **Vectors** | 0 ... | 897 | [
[
-0.04730224609375,
-0.0181427001953125,
0.0220794677734375,
0.020843505859375,
-0.049346923828125,
0.023193359375,
0.0060577392578125,
-0.0026416778564453125,
0.0631103515625,
0.048553466796875,
-0.0528564453125,
-0.06866455078125,
-0.048187255859375,
0.0059... |
vikneshk/finetune_small_imdb_sentiment | 2023-08-17T14:24:22.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:imdb",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | vikneshk | null | null | vikneshk/finetune_small_imdb_sentiment | 0 | 2 | transformers | 2023-08-17T14:03:25 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetune_small_imdb_sentiment
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
... | 1,580 | [
[
-0.043212890625,
-0.042724609375,
0.01041412353515625,
0.0059967041015625,
-0.03765869140625,
-0.016510009765625,
-0.0101776123046875,
-0.00278472900390625,
0.0158233642578125,
0.02227783203125,
-0.05584716796875,
-0.03973388671875,
-0.06219482421875,
-0.003... |
TheBloke/Llama2-13B-MegaCode2-OASST-GPTQ | 2023-09-27T12:45:51.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"license:other",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Llama2-13B-MegaCode2-OASST-GPTQ | 3 | 2 | transformers | 2023-08-17T14:07:00 | ---
license: other
model_name: Llama2 13B MegaCode2 OASST
base_model: OpenAssistant/llama2-13b-megacode2-oasst
inference: false
model_creator: OpenAssistant
model_type: llama
prompt_template: '<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
'
quanti... | 17,147 | [
[
-0.034637451171875,
-0.057281494140625,
0.01528167724609375,
0.01294708251953125,
-0.0311431884765625,
-0.0085906982421875,
0.005069732666015625,
-0.04400634765625,
0.016448974609375,
0.029571533203125,
-0.04425048828125,
-0.042449951171875,
-0.03228759765625,
... |
TheBloke/Llama2-13B-MegaCode2-OASST-GGML | 2023-09-27T13:01:37.000Z | [
"transformers",
"llama",
"license:llama2",
"text-generation-inference",
"region:us"
] | null | TheBloke | null | null | TheBloke/Llama2-13B-MegaCode2-OASST-GGML | 6 | 2 | transformers | 2023-08-17T14:07:00 | ---
license: llama2
model_name: Llama2 13B MegaCode2 OASST
inference: false
model_creator: OpenAssistant
model_link: https://huggingface.co/OpenAssistant/llama2-13b-megacode2-oasst
model_type: llama
quantized_by: TheBloke
base_model: OpenAssistant/llama2-13b-megacode2-oasst
---
<!-- header start -->
<!-- 200823 -->
<d... | 15,841 | [
[
-0.040740966796875,
-0.062103271484375,
0.0277862548828125,
0.0177001953125,
-0.0284271240234375,
-0.006275177001953125,
-0.006244659423828125,
-0.046112060546875,
0.02777099609375,
0.00555419921875,
-0.045013427734375,
-0.042022705078125,
-0.03857421875,
0.... |
asas-ai/opus-mt-ar-en-finetuned_augmented_synthetic-ar-to-en | 2023-09-17T16:24:06.000Z | [
"transformers",
"pytorch",
"tensorboard",
"marian",
"text2text-generation",
"generated_from_trainer",
"translation",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | asas-ai | null | null | asas-ai/opus-mt-ar-en-finetuned_augmented_synthetic-ar-to-en | 0 | 2 | transformers | 2023-08-17T15:36:11 | ---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-ar-en
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-ar-en-finetuned_augmented_synthetic-ar-to-en
results: []
pipeline_tag: translation
---
<!-- This model card has been generated automatically according to the information the Trai... | 2,170 | [
[
-0.039581298828125,
-0.04541015625,
0.0092010498046875,
0.00991058349609375,
-0.0189361572265625,
-0.0246734619140625,
-0.00977325439453125,
-0.0160064697265625,
0.0250396728515625,
0.031524658203125,
-0.05712890625,
-0.046875,
-0.04925537109375,
-0.00037598... |
wlaminack/testingmodel | 2023-09-14T18:56:34.000Z | [
"sklearn",
"joblib",
"tabular-classification",
"dataset:wine-quality",
"dataset:lvwerra/red-wine",
"region:us"
] | tabular-classification | wlaminack | null | null | wlaminack/testingmodel | 0 | 2 | sklearn | 2023-08-17T16:47:55 | ---
tags:
- tabular-classification
- sklearn
datasets:
- wine-quality
- lvwerra/red-wine
widget:
structuredData:
fixed_acidity:
- 7.4
- 7.8
- 10.3
volatile_acidity:
- 0.7
- 0.88
- 0.32
citric_acid:
- 0
- 0
- 0.45
residual_sugar:
- 1.9
-... | 2,709 | [
[
-0.0164031982421875,
-0.0233001708984375,
0.0033321380615234375,
0.0139312744140625,
-0.0162506103515625,
-0.0032444000244140625,
0.007843017578125,
-0.01105499267578125,
0.03070068359375,
0.034423828125,
-0.039093017578125,
-0.047119140625,
-0.033935546875,
... |
digitalpipelines/llama2_7b_chat_uncensored-GPTQ | 2023-08-18T14:02:31.000Z | [
"transformers",
"llama",
"text-generation",
"digitalpipelines",
"dataset:wikitext",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | digitalpipelines | null | null | digitalpipelines/llama2_7b_chat_uncensored-GPTQ | 0 | 2 | transformers | 2023-08-17T18:44:15 | ---
license: apache-2.0
datasets:
- wikitext
tags:
- digitalpipelines
---
# Overview
quantized GPTQ model of [digitalpipelines/llama2_7b_chat_uncensored](https://huggingface.co/digitalpipelines/llama2_7b_chat_uncensored)
# Prompt style
The model was trained with the following prompt style:
```
### HUMAN:
Hello
### R... | 410 | [
[
-0.0189056396484375,
-0.07623291015625,
0.03173828125,
0.01398468017578125,
-0.05706787109375,
0.01522064208984375,
0.01094818115234375,
-0.0125274658203125,
0.01160430908203125,
0.034759521484375,
-0.0531005859375,
-0.04510498046875,
-0.049163818359375,
0.0... |
kadriu/shqip-mms-3 | 2023-09-28T18:01:48.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | kadriu | null | null | kadriu/shqip-mms-3 | 0 | 2 | transformers | 2023-08-17T22:33:52 | ---
license: cc-by-nc-4.0
base_model: facebook/mms-1b-all
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: shqip-mms-3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then re... | 1,679 | [
[
-0.0287017822265625,
-0.03961181640625,
0.005779266357421875,
0.01299285888671875,
-0.0233917236328125,
-0.03277587890625,
0.0016632080078125,
-0.00794219970703125,
0.015899658203125,
0.0206298828125,
-0.0645751953125,
-0.04345703125,
-0.0509033203125,
-0.00... |
doorinsight1/house-image-classification-ft | 2023-08-18T05:19:43.000Z | [
"transformers",
"pytorch",
"tensorboard",
"vit",
"image-classification",
"huggingpics",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | doorinsight1 | null | null | doorinsight1/house-image-classification-ft | 0 | 2 | transformers | 2023-08-18T05:19:34 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: house-image-classification-ft
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.7142857313156128
---
# hous... | 930 | [
[
-0.051483154296875,
-0.056549072265625,
0.006603240966796875,
0.034759521484375,
-0.029693603515625,
0.01262664794921875,
0.01320648193359375,
-0.027740478515625,
0.034210205078125,
0.0127410888671875,
-0.0162200927734375,
-0.06060791015625,
-0.04412841796875,
... |
momolee/low_light_image_recognition | 2023-08-18T05:39:04.000Z | [
"keras",
"region:us"
] | null | momolee | null | null | momolee/low_light_image_recognition | 0 | 2 | keras | 2023-08-18T05:38:43 | ---
library_name: keras
---
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters ... | 802 | [
[
-0.0279388427734375,
-0.035675048828125,
0.0174407958984375,
0.0195159912109375,
-0.047760009765625,
-0.0238189697265625,
0.0116424560546875,
0.00846099853515625,
0.0205841064453125,
0.0367431640625,
-0.045562744140625,
-0.055999755859375,
-0.03839111328125,
... |
Andyrasika/my-awesome-setfit-model | 2023-08-18T10:28:01.000Z | [
"transformers",
"pytorch",
"mpnet",
"feature-extraction",
"setfit",
"sentence-transformers",
"text-classification",
"en",
"dataset:PolyAI/banking77",
"arxiv:2209.11055",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | Andyrasika | null | null | Andyrasika/my-awesome-setfit-model | 1 | 2 | transformers | 2023-08-18T06:58:45 | ---
license: apache-2.0
tags:
- setfit
- sentence-transformers
- text-classification
pipeline_tag: text-classification
datasets:
- PolyAI/banking77
language:
- en
metrics:
- accuracy
library_name: transformers
---
# Andyrasika/my-awesome-setfit-model
This is a [SetFit model](https://github.com/huggingface/setfit) tha... | 1,647 | [
[
-0.0163421630859375,
-0.06182861328125,
0.026123046875,
-0.01995849609375,
-0.0147552490234375,
-0.02032470703125,
-0.0153656005859375,
-0.0138092041015625,
0.0102386474609375,
0.03179931640625,
-0.044586181640625,
-0.02423095703125,
-0.036224365234375,
0.01... |
bhagasra-saurav/bert-base-uncased-finetuned-char-hangman | 2023-08-18T08:12:27.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"fill-mask",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | bhagasra-saurav | null | null | bhagasra-saurav/bert-base-uncased-finetuned-char-hangman | 0 | 2 | transformers | 2023-08-18T06:59:03 | ---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-finetuned-char-hangman
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete i... | 2,200 | [
[
-0.040313720703125,
-0.03765869140625,
0.0103302001953125,
0.003452301025390625,
-0.0191192626953125,
-0.02655029296875,
-0.01079559326171875,
-0.015533447265625,
0.0178070068359375,
0.0283203125,
-0.05596923828125,
-0.044891357421875,
-0.045318603515625,
-0... |
stanfordnlp/stanza-qaf | 2023-10-02T23:44:29.000Z | [
"stanza",
"token-classification",
"qaf",
"license:apache-2.0",
"region:us"
] | token-classification | stanfordnlp | null | null | stanfordnlp/stanza-qaf | 0 | 2 | stanza | 2023-08-18T07:07:21 | ---
tags:
- stanza
- token-classification
library_name: stanza
language: qaf
license: apache-2.0
---
# Stanza model for Maghrebi_Arabic_French (qaf)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recogni... | 697 | [
[
-0.035675048828125,
-0.0379638671875,
0.016876220703125,
0.03887939453125,
-0.01450347900390625,
-0.0035076141357421875,
0.0112457275390625,
-0.03369140625,
0.010498046875,
0.0271148681640625,
-0.048126220703125,
-0.039215087890625,
-0.029449462890625,
-0.00... |
stanfordnlp/stanza-qpm | 2023-10-02T23:44:33.000Z | [
"stanza",
"token-classification",
"qpm",
"license:apache-2.0",
"region:us"
] | token-classification | stanfordnlp | null | null | stanfordnlp/stanza-qpm | 0 | 2 | stanza | 2023-08-18T07:07:29 | ---
tags:
- stanza
- token-classification
library_name: stanza
language: qpm
license: apache-2.0
---
# Stanza model for Pomak (qpm)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brin... | 680 | [
[
-0.02545166015625,
-0.0391845703125,
0.027557373046875,
0.02606201171875,
-0.037872314453125,
-0.01541900634765625,
0.003887176513671875,
-0.0265960693359375,
0.00890350341796875,
0.036224365234375,
-0.049835205078125,
-0.0491943359375,
-0.02935791015625,
-0... |
jerome1519/flan-t5-base-finetuned-coding_instructions_2023_08_18__07_51 | 2023-08-18T07:52:20.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | jerome1519 | null | null | jerome1519/flan-t5-base-finetuned-coding_instructions_2023_08_18__07_51 | 0 | 2 | transformers | 2023-08-18T07:51:24 | ---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
model-index:
- name: flan-t5-base-finetuned-coding_instructions_2023_08_18__07_51
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably pr... | 1,457 | [
[
-0.029388427734375,
-0.034881591796875,
0.007167816162109375,
0.0102386474609375,
-0.02001953125,
-0.0261688232421875,
-0.01007843017578125,
-0.0236358642578125,
0.00876617431640625,
0.0293731689453125,
-0.047760009765625,
-0.049652099609375,
-0.045684814453125,... |
jerome1519/t5-small-finetuned-coding_instructions_2023_08_18__08_41 | 2023-08-18T08:43:22.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | jerome1519 | null | null | jerome1519/t5-small-finetuned-coding_instructions_2023_08_18__08_41 | 0 | 2 | transformers | 2023-08-18T08:41:17 | ---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-coding_instructions_2023_08_18__08_41
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably ... | 2,517 | [
[
-0.03558349609375,
-0.033203125,
0.0161895751953125,
0.004436492919921875,
-0.0166473388671875,
-0.019866943359375,
-0.0029277801513671875,
-0.01284027099609375,
0.02532958984375,
0.019287109375,
-0.0467529296875,
-0.05694580078125,
-0.04962158203125,
-0.006... |
harvinder676/ner-distillbert-ner-tags | 2023-08-18T09:24:42.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"token-classification",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | harvinder676 | null | null | harvinder676/ner-distillbert-ner-tags | 0 | 2 | transformers | 2023-08-18T09:17:29 | ---
license: apache-2.0
base_model: harvinder676/ner-distillbert-ner-tags
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: ner-distillbert-ner-tags
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had acces... | 2,426 | [
[
-0.040496826171875,
-0.037628173828125,
0.00655364990234375,
-0.0020771026611328125,
-0.0084075927734375,
-0.014862060546875,
0.005615234375,
-0.009918212890625,
0.03369140625,
0.019287109375,
-0.048370361328125,
-0.054168701171875,
-0.05224609375,
-0.011283... |
leofn3/modelo_racismo | 2023-09-02T17:01:56.000Z | [
"transformers",
"pytorch",
"tensorboard",
"deberta-v2",
"text-classification",
"generated_from_trainer",
"license:other",
"endpoints_compatible",
"region:us"
] | text-classification | leofn3 | null | null | leofn3/modelo_racismo | 0 | 2 | transformers | 2023-08-18T14:11:56 | ---
license: other
base_model: PORTULAN/albertina-ptbr
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: modelo_racismo
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, th... | 1,549 | [
[
-0.036407470703125,
-0.03857421875,
0.00044608116149902344,
0.022064208984375,
-0.027801513671875,
-0.022918701171875,
-0.0018262863159179688,
-0.0240020751953125,
0.01287841796875,
0.0260009765625,
-0.044525146484375,
-0.049346923828125,
-0.051910400390625,
... |
Francesco-A/finetuned-kde4-en-to-fr | 2023-08-18T19:25:52.000Z | [
"transformers",
"pytorch",
"tensorboard",
"marian",
"text2text-generation",
"translation",
"generated_from_trainer",
"dataset:kde4",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Francesco-A | null | null | Francesco-A/finetuned-kde4-en-to-fr | 0 | 2 | transformers | 2023-08-18T15:52:44 | ---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-fr
tags:
- translation
- generated_from_trainer
datasets:
- kde4
metrics:
- bleu
model-index:
- name: finetuned-kde4-en-to-fr
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: kde4... | 3,194 | [
[
-0.0271453857421875,
-0.047271728515625,
0.0139312744140625,
0.015655517578125,
-0.01166534423828125,
-0.017486572265625,
-0.01160430908203125,
-0.012451171875,
0.006378173828125,
0.04046630859375,
-0.05389404296875,
-0.04632568359375,
-0.045806884765625,
0.... |
xzuyn/GPT-2-Small-Stripped | 2023-08-18T20:35:20.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"en",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | xzuyn | null | null | xzuyn/GPT-2-Small-Stripped | 0 | 2 | transformers | 2023-08-18T19:43:37 | ---
language:
- en
library_name: transformers
---
This is just an experiment to see if a script of mine works.
GPT-2-Small, but I removed all layers in between `h.0.mlp.c_proj.bias` and `ln_f.weight`.
These are the only layers/tensors left (I'm unsure of the terminology for these):
```
wte.weight
wpe.weight
h.0.ln_1.... | 579 | [
[
-0.031982421875,
-0.056304931640625,
0.0528564453125,
0.011566162109375,
-0.015899658203125,
-0.0144500732421875,
-0.00719451904296875,
-0.002582550048828125,
0.032257080078125,
0.0301361083984375,
-0.04150390625,
-0.0298004150390625,
-0.0579833984375,
-0.01... |
barbieheimer/MND_TweetEvalBert_model | 2023-08-22T12:40:58.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"en",
"dataset:tweet_eval",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | barbieheimer | null | null | barbieheimer/MND_TweetEvalBert_model | 1 | 2 | transformers | 2023-08-19T05:33:08 | ---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
datasets:
- tweet_eval
model-index:
- name: MND_TweetEvalBert_model
results: []
language:
- en
pipeline_tag: text-classification
metrics:
- accuracy
widget:
- text: 'I loved Barbie and Oppenheimer'
example_title: Barbenheimer
-... | 2,810 | [
[
-0.0214385986328125,
-0.04022216796875,
0.01490020751953125,
0.0174407958984375,
-0.007236480712890625,
-0.01418304443359375,
-0.0168609619140625,
-0.0035724639892578125,
0.00919342041015625,
0.0103302001953125,
-0.040679931640625,
-0.05096435546875,
-0.06054687... |
Youngwoo9/FlanPyeongsan | 2023-08-19T05:52:26.000Z | [
"transformers",
"pytorch",
"safetensors",
"mt5",
"text2text-generation",
"autotrain",
"summarization",
"ko",
"dataset:Youngwoo9/autotrain-data-flanpyeongsan",
"co2_eq_emissions",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | summarization | Youngwoo9 | null | null | Youngwoo9/FlanPyeongsan | 0 | 2 | transformers | 2023-08-19T05:42:27 | ---
tags:
- autotrain
- summarization
language:
- ko
widget:
- text: "I love AutoTrain"
datasets:
- Youngwoo9/autotrain-data-flanpyeongsan
co2_eq_emissions:
emissions: 5.58437237268958
---
# Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 83363142260
- CO2 Emissions (in grams): 5.5844
## Va... | 720 | [
[
-0.033203125,
-0.031280517578125,
0.0256195068359375,
0.0146942138671875,
0.0012960433959960938,
-0.0004925727844238281,
0.01568603515625,
-0.0169677734375,
0.0217437744140625,
0.0188751220703125,
-0.062744140625,
-0.0274810791015625,
-0.053863525390625,
-0.... |
Livyatan/mT5-small-Hebrew-ParaShoot-QA | 2023-08-19T15:06:21.000Z | [
"transformers",
"pytorch",
"mt5",
"text2text-generation",
"arxiv:2109.11314",
"arxiv:2010.11934",
"arxiv:2212.09682",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | Livyatan | null | null | Livyatan/mT5-small-Hebrew-ParaShoot-QA | 0 | 2 | transformers | 2023-08-19T14:04:30 | ---
datasets: https://github.com/omrikeren/ParaShoot/
metrics: f1 49.612 exact_match 26.439
language: he
pipeline_tag: question-answering
license: unknown
---
## mT5-small-Hebrew-ParaShoot-QA
This repository contains a fine-tuned mT5-small (Multilingual Text-to-Text Transfer Transformer) model on the [ParaShoot](... | 3,845 | [
[
-0.036865234375,
-0.04638671875,
0.0243988037109375,
0.025787353515625,
-0.040008544921875,
-0.0229339599609375,
-0.0081024169921875,
-0.0272369384765625,
0.0026874542236328125,
0.02301025390625,
-0.053497314453125,
-0.043487548828125,
-0.0426025390625,
0.02... |
time-machine/test | 2023-08-20T20:33:03.000Z | [
"transformers",
"pytorch",
"layoutlmv3",
"token-classification",
"generated_from_trainer",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | time-machine | null | null | time-machine/test | 0 | 2 | transformers | 2023-08-19T16:16:06 | ---
license: cc-by-nc-sa-4.0
base_model: microsoft/layoutlmv3-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: test
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably p... | 1,872 | [
[
-0.0266571044921875,
-0.0369873046875,
0.008453369140625,
0.02520751953125,
-0.0159759521484375,
-0.024017333984375,
0.005962371826171875,
-0.007228851318359375,
0.007228851318359375,
0.0201568603515625,
-0.048370361328125,
-0.054412841796875,
-0.038543701171875... |
Triangles/gpt-neo-125m-primordial_earth_full | 2023-09-06T16:02:37.000Z | [
"transformers",
"pytorch",
"gpt_neo",
"text-generation",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-generation | Triangles | null | null | Triangles/gpt-neo-125m-primordial_earth_full | 0 | 2 | transformers | 2023-08-19T19:13:10 | ---
license: mit
base_model: EleutherAI/gpt-neo-125M
tags:
- generated_from_trainer
model-index:
- name: gpt-neo-125M-primordial_earth_full
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then... | 1,431 | [
[
-0.03546142578125,
-0.0506591796875,
0.028106689453125,
-0.0013179779052734375,
-0.03515625,
-0.033172607421875,
-0.009246826171875,
-0.01555633544921875,
0.01265716552734375,
0.0240020751953125,
-0.059814453125,
-0.046905517578125,
-0.044403076171875,
-0.00... |
Henil1/mt5-small-hindi-summary-hindi-summary | 2023-08-19T20:23:50.000Z | [
"transformers",
"tf",
"mt5",
"text2text-generation",
"generated_from_keras_callback",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | Henil1 | null | null | Henil1/mt5-small-hindi-summary-hindi-summary | 0 | 2 | transformers | 2023-08-19T19:59:11 | ---
tags:
- generated_from_keras_callback
model-index:
- name: Henil1/mt5-small-hindi-summary-hindi-summary
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Henil1/mt... | 1,565 | [
[
-0.036773681640625,
-0.03875732421875,
0.0215911865234375,
0.008575439453125,
-0.032989501953125,
-0.0208282470703125,
-0.01123809814453125,
-0.0150146484375,
0.00435638427734375,
0.0028133392333984375,
-0.052703857421875,
-0.043243408203125,
-0.05572509765625,
... |
Faradaylab/aria-doc | 2023-08-19T22:04:13.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"question-answering",
"biology",
"legal",
"French",
"France",
"fr",
"en",
"dataset:etalab-ia/piaf",
"license:gpl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | Faradaylab | null | null | Faradaylab/aria-doc | 0 | 2 | transformers | 2023-08-19T21:18:14 | ---
license: gpl
datasets:
- etalab-ia/piaf
language:
- fr
- en
metrics:
- accuracy
pipeline_tag: question-answering
tags:
- biology
- legal
- French
- France
---
Aria Doc is a model we created for Documents Q/A. It has been trained on a high quality dataset with over 3000 rows of context,question and answers from Etal... | 810 | [
[
-0.031158447265625,
-0.0616455078125,
0.040985107421875,
0.0037174224853515625,
0.0035610198974609375,
-0.0247650146484375,
0.004375457763671875,
-0.0248565673828125,
0.01486968994140625,
0.051055908203125,
-0.044189453125,
-0.054290771484375,
-0.06048583984375,... |
hoangthan/image-classification | 2023-08-21T03:45:31.000Z | [
"keras",
"image-classification",
"en",
"region:us"
] | image-classification | hoangthan | null | null | hoangthan/image-classification | 0 | 2 | keras | 2023-08-20T02:38:32 | ---
library_name: keras
language:
- en
metrics:
- accuracy
pipeline_tag: image-classification
---
## Model description
Image Classification for both digital image and sketch.
List object: 'butterfly', 'candle', 'cannon', 'elephant', 'hourglass', 'pizza', 'scorpion', 'snail', 'table', 'teapot'.
## How to Get Started... | 709 | [
[
-0.037750244140625,
-0.041107177734375,
-0.0007448196411132812,
0.02203369140625,
-0.041778564453125,
-0.01331329345703125,
0.0242767333984375,
-0.0284576416015625,
0.031585693359375,
0.035430908203125,
-0.028411865234375,
-0.04296875,
-0.06719970703125,
-0.... |
tanishq1508/roberta-finetuned-last-company-last-designation | 2023-08-20T08:04:03.000Z | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"question-answering",
"generated_from_trainer",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | tanishq1508 | null | null | tanishq1508/roberta-finetuned-last-company-last-designation | 0 | 2 | transformers | 2023-08-20T07:36:38 | ---
license: cc-by-4.0
base_model: tanishq1508/roberta-finetuned-last-company
tags:
- generated_from_trainer
model-index:
- name: roberta-finetuned-last-company-last-designation
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should pr... | 1,191 | [
[
-0.0236663818359375,
-0.044403076171875,
0.016632080078125,
0.0004665851593017578,
-0.0321044921875,
-0.0258026123046875,
-0.01280975341796875,
-0.0176849365234375,
0.0086822509765625,
0.043212890625,
-0.052734375,
-0.039947509765625,
-0.043853759765625,
0.0... |
TheBloke/LlongOrca-13B-16K-GGML | 2023-09-27T13:01:41.000Z | [
"transformers",
"llama",
"text-generation",
"en",
"dataset:Open-Orca/OpenOrca",
"arxiv:2306.02707",
"arxiv:2301.13688",
"arxiv:2307.09288",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/LlongOrca-13B-16K-GGML | 8 | 2 | transformers | 2023-08-20T20:24:06 | ---
language:
- en
license: llama2
library_name: transformers
datasets:
- Open-Orca/OpenOrca
model_name: LlongOrca 13B 16K
inference: false
model_creator: Open-Orca
model_link: https://huggingface.co/Open-Orca/LlongOrca-13B-16k
model_type: llama
pipeline_tag: text-generation
quantized_by: TheBloke
base_model: Open-Orca... | 21,818 | [
[
-0.037689208984375,
-0.060821533203125,
0.023712158203125,
0.01904296875,
-0.0275421142578125,
-0.007305145263671875,
-0.00836181640625,
-0.052337646484375,
0.03387451171875,
0.007442474365234375,
-0.04022216796875,
-0.048858642578125,
-0.0357666015625,
0.00... |
2tle/korean-curse-detection | 2023-08-21T01:41:12.000Z | [
"transformers",
"pytorch",
"electra",
"text-classification",
"ko",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | 2tle | null | null | 2tle/korean-curse-detection | 0 | 2 | transformers | 2023-08-21T01:29:12 | ---
license: mit
language:
- ko
---
# Korean Curse Detection Electra Model
## Dataset
- [2runo/Curse-detection-data](https://github.com/2runo/Curse-detection-data)
## Model Score
- Accuracy: 87%
## Label
- Label 0: No curse detected
- Label 1: Curse detected | 263 | [
[
-0.0093231201171875,
-0.033905029296875,
0.0213165283203125,
0.03759765625,
-0.0292205810546875,
0.016143798828125,
0.01739501953125,
-0.0290069580078125,
0.033477783203125,
0.050079345703125,
-0.01445770263671875,
-0.07611083984375,
-0.031524658203125,
0.00... |
VietnamAIHub/LLaMA2_Vietnamese_Medical_SFT_13B | 2023-09-09T12:45:34.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"custom_code",
"license:cc-by-nc-nd-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | VietnamAIHub | null | null | VietnamAIHub/LLaMA2_Vietnamese_Medical_SFT_13B | 0 | 2 | transformers | 2023-08-21T04:43:49 | ---
license: cc-by-nc-nd-4.0
---
# Noted This model will be updated information After the Medical LLM group discussion
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](http... | 5,091 | [
[
-0.044403076171875,
-0.044281005859375,
0.038604736328125,
0.00720977783203125,
-0.026336669921875,
-0.0271148681640625,
0.0092620849609375,
-0.0452880859375,
0.0175933837890625,
0.0504150390625,
-0.0562744140625,
-0.052398681640625,
-0.04388427734375,
-0.00... |
KingKazma/cnn_dailymail_6789_200000_100000_v1_train | 2023-08-21T15:09:56.000Z | [
"bertopic",
"text-classification",
"region:us"
] | text-classification | KingKazma | null | null | KingKazma/cnn_dailymail_6789_200000_100000_v1_train | 0 | 2 | bertopic | 2023-08-21T15:09:54 |
---
tags:
- bertopic
library_name: bertopic
pipeline_tag: text-classification
---
# cnn_dailymail_6789_200000_100000_v1_train
This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics f... | 106,286 | [
[
-0.06451416015625,
-0.0213165283203125,
0.006626129150390625,
0.0013437271118164062,
-0.0185699462890625,
0.01474761962890625,
0.0024967193603515625,
-0.0175628662109375,
0.055084228515625,
0.020904541015625,
-0.04345703125,
-0.05291748046875,
-0.054931640625,
... |
adrinanou/distilbert-base-uncased-finetuned-squac | 2023-08-24T13:56:43.000Z | [
"transformers",
"pytorch",
"distilbert",
"question-answering",
"generated_from_trainer",
"dataset:IIC/SQUAC",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | adrinanou | null | null | adrinanou/distilbert-base-uncased-finetuned-squac | 0 | 2 | transformers | 2023-08-21T15:58:07 | ---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-squac
results: []
datasets:
- IIC/SQUAC
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probab... | 1,499 | [
[
-0.033966064453125,
-0.052764892578125,
0.0106353759765625,
0.0175628662109375,
-0.024658203125,
-0.0261383056640625,
-0.0103302001953125,
-0.005054473876953125,
0.0018329620361328125,
0.0191802978515625,
-0.050689697265625,
-0.039459228515625,
-0.0523681640625,... |
TheBloke/L2-MythoMax22b-Instruct-Falseblock-GGML | 2023-09-27T13:01:43.000Z | [
"transformers",
"llama",
"llama-2",
"license:llama2",
"text-generation-inference",
"region:us"
] | null | TheBloke | null | null | TheBloke/L2-MythoMax22b-Instruct-Falseblock-GGML | 6 | 2 | transformers | 2023-08-21T19:38:25 | ---
license: llama2
tags:
- llama
- llama-2
model_name: L2 MythoMax 22B Instruct Falseblock
inference: false
model_creator: grimpep
model_link: https://huggingface.co/grimpep/L2-MythoMax22b-instruct-Falseblock
model_type: llama
quantized_by: TheBloke
base_model: grimpep/L2-MythoMax22b-instruct-Falseblock
---
<!-- head... | 15,602 | [
[
-0.040313720703125,
-0.0631103515625,
0.0282745361328125,
0.013427734375,
-0.0258331298828125,
-0.00640869140625,
-0.005405426025390625,
-0.04632568359375,
0.0238037109375,
0.006671905517578125,
-0.04620361328125,
-0.041717529296875,
-0.038604736328125,
-0.0... |
manuu01/DeBERTa-SeagullStory | 2023-08-21T21:26:03.000Z | [
"transformers",
"pytorch",
"deberta-v2",
"text-classification",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | manuu01 | null | null | manuu01/DeBERTa-SeagullStory | 0 | 2 | transformers | 2023-08-21T21:20:37 | [MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli](https://huggingface.co/MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli) further trained on a
custom dataset for SeagullStory space | 175 | [
[
-0.0176849365234375,
-0.0192413330078125,
0.016204833984375,
0.02301025390625,
-0.00795745849609375,
-0.002819061279296875,
0.03656005859375,
-0.01313018798828125,
0.06982421875,
0.033782958984375,
-0.033477783203125,
-0.043914794921875,
-0.017730712890625,
... |
TheBloke/Llama2-22B-GPLATTY-GGML | 2023-09-27T13:01:44.000Z | [
"transformers",
"llama",
"llama-2",
"license:llama2",
"text-generation-inference",
"region:us"
] | null | TheBloke | null | null | TheBloke/Llama2-22B-GPLATTY-GGML | 7 | 2 | transformers | 2023-08-21T21:23:09 | ---
license: llama2
tags:
- llama
- llama-2
model_name: Llama2 22B GPLATTY
inference: false
model_creator: grimpep
model_link: https://huggingface.co/grimpep/llama2-22B-GPLATTY
model_type: llama
quantized_by: TheBloke
base_model: grimpep/llama2-22B-GPLATTY
---
<!-- header start -->
<!-- 200823 -->
<div style="width: a... | 14,854 | [
[
-0.03857421875,
-0.060333251953125,
0.030242919921875,
0.0190582275390625,
-0.0280303955078125,
-0.0028057098388671875,
-0.005435943603515625,
-0.04974365234375,
0.0258026123046875,
0.00604248046875,
-0.044189453125,
-0.044158935546875,
-0.03814697265625,
-0... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.